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• 2.2.1. Valuation of fatness or thinness in women
• 3.1. Relationship between resource scarcity and the valuation of fatness in women
• 3.2. Other possible predictors of the valuation of fatness
• 4.1. Food storage and the valuation of fatness in women
• 4.2. Male dominance or protest masculinity?
• Appendix. Codings of major variables
1. Introduction
In most cultures, the ideal female form is not thin. According to Brown and Konner (1987), 81% of societies in a Human Relations Area Files (HRAF) sample preferred plump or moderately fat women, and 90% preferred large or fat hips and legs. (Few anthropological reports discuss preferred male body types.) Brown and Konner suggest that plumpness is generally adaptive because fat stores allow people to survive periods of scarcity, as well as being associated with earlier menarche, successful pregnancies, and adequate lactation. But if this be so, why is thinness valued in some cultures (even some preindustrial ones)? At the least, one might expect that these will be cultures with little resource scarcity, and a study by Anderson, Crawford, Nadeau, and Lindberg (1992) supported this hypothesis. However, the research reported here does not.
Although the ethnographic record indicates that plumpness is widely preferred, fatness is disparaged in the modern West, especially by elites. This negativity is bolstered by evidence that severely overweight (obese) people have elevated rates of diabetes, heart disease, and some cancers. However, Brown and Konner point out that obesity is rare outside modern societies, and that women have more subcutaneous fat than men do. Given the prevalence of recurrent food shortages in human history, Brown and Konner theorize that storing energy in the form of fat would have been particularly adaptive for ancestral women, but that obesity would hardly ever have occurred so that thinness would typically indicate poor health, and plumpness good health. However, this does not help us understand why female thinness would ever be valued.
We began this research with the goal of testing this hypothesis: Societies with greater resource scarcity will have more positive valuations of fatness in women.
We were initially unaware that Anderson et al. (1992) had tested the same hypothesis, and when we realized that our results contradicted theirs, we sought to discover why. All tests in this paper were made on worldwide samples of mostly preindustrial societies, ranging in complexity from societies with autonomous communities to states with three or more levels of political hierarchy. The materials from which most variables have been coded are full-text ethnographic accounts written by anthropologists and other observers.
2. Methods
2.1. Samples
2.1.1. Sample 1
Our initial sample consists of those 24 societies that occur in both the Murdock and White (1969) “Standard Cross-Cultural Sample” (SCCS) of 186 societies and the 60-culture HRAF Probability Sample Files (PSF; Lagacé, 1979, Naroll, 1967) that match on time and place focus in Ember's (1992) concordance of cross-cultural samples and that could be coded by us on the valuation of fatness. Both the SCCS and PSF were designed to represent preindustrial societies worldwide and to minimize historical relatedness by dividing the world into culture areas and choosing one culture per area. The PSF uses 60 culture areas, the SCCS, 200; for further specification, see Ember and Ember (2001, pp. 77–85). All cases in the PSF are now in the eHRAF Collection of Ethnography, which is accessible via the Web to HRAF member institutions (http://ets.umdl.umich.edu/e/ehrafe/).
2.1.2. Sample 2
This distinct sample of 35 societies includes all remaining SCCS societies (i.e., the non-PSF cases) that were also in the entire HRAF Collection of Ethnography in some form (paper, microfiche, or Web) as of 2001, which were coded by Anderson et al. (1992), and that could be coded by us on valuation of fatness. Inclusion in the Anderson et al. sample was important because we wanted to compare their ratings of beauty with our ratings of fatness valuation.
2.2. Measures
2.2.1. Valuation of fatness or thinness in women
This was coded as follows: (1) thinness valued or idealized; (2) somewhat thin preferred; (3) not too thin and not too fat preferred; (4) somewhat fat preferred; (5) fatness valued or idealized. Intermediate scores (e.g., 4.5) were permitted. Codings were generated on the basis of the following HRAF subject categories from the Outline of Cultural Materials (OCM;Murdock et al., 2004, with revisions 2004): 581 (Basis of Marriage), 826 (Ethnoanatomy), and 832 (Sexual Stimulation). The eHRAF allows word searches in combination with OCM searches, hence, whenever possible, we searched eHRAF for “fat…” and “thin…” within the OCM categories. If these searches revealed no relevant information, we proceeded to read all the material in those categories. For Sample 2 societies (which were available only in the paper and microfiche versions of HRAF), we read all materials in the abovementioned categories.
All ratings were made independently by at least two authors. Any disagreements were discussed, and a resolution was made, often by averaging. We tried to code the same time and place cited as the ethnographic present in Murdock and White (1969) because our codes for resource scarcity (see Ember & Ember, 1992a, Ember & Ember, 1992b) pertain to a 25-year interval around that ethnographic present (−15 to +10 years). The coded data appear in the Appendix and can also be found at http://www.yale.edu/hraf/EmberEHB2005. Five examples of ethnographic statements and their final scores are listed below for purposes of illustration.
Because ethnographic information is usually collected from unstructured interviews, we could not code finer details, such as what parts of the body should be fat or thin. For example, from the information in ethnographic Examples 1 and 2 below, one cannot say whether people prefer a somewhat narrower waist, although a plump body was preferred. In addition, ethnographers do not usually describe subcultural variation, such as between social classes. However, ethnographic summaries of responses to unstructured questions can tell us whether features such as fatness are considered important. For example, in Example 4 below, the Muria Gond apparently do not find physical features crucial in evaluating attractiveness. The salience of particular physical attributes is not coded here, but could be the subject of future study.
2.2.2. Resource scarcity
In previous research on warfare, Ember & Ember, 1992a, Ember & Ember, 1992b coded three measures of resource scarcity for the Murdock and White (1969) sample. Two tapped serious but unpredictable fluctuations in the food supply over 25 years: threat of unpredictable natural disasters (e.g., weather or pest) that destroy food supplies, and threat of famine. The third measure reflected chronic or regularly recurring (e.g., seasonal) scarcity. For the codings used here, see the Appendix; we use only those that had high reliability scores (1–4 in Column 40 of Ember & Ember, 1992b).
Threat of weather or pest disasters and threat of famine were both coded (1) low or rare in 25-year time period; (2) no severe event in the focal time period, but ever-present threat reported; (3) one severe event in the 25 years; and (4) more than one in the 25 years. Chronic resource problems were coded (1) low or rare; (1.5) existence of some food problem, not clear how problematic; (2) some hungry times during the year; (3) some people usually do not have enough to eat; and (4) most people usually do not have enough to eat.
3. Results
3.1. Relationship between resource scarcity and the valuation of fatness in women
In Sample 1, the results were contrary to Hypothesis 1 and to those of Anderson et al. (1992). Correlations between the valuation of fat and each resource scarcity measure were negative, and one was significantly so: for threat of natural disasters, ρ=−.51 (two tailed P<.05, n=20); threat of famine, ρ=−.41 (P<.10, n=17); and chronic scarcity, ρ=−.36 (P<.20, n=14). Henceforth, we focus on the threat of natural disasters as our best measure of resource scarcity because it was both most strongly related to the valuation of fatness in women and most frequently scoreable.
In Sample 2, we included only societies that Anderson et al. (1992) had also rated. The result matched neither theirs nor our Sample 1 result: Threat of natural disasters was not correlated with the valuation of fat at all (ρ=.07, n=17).
One reason why our results differ from those of Anderson et al. (1992) could be the difference in the dependent variables. Following Brown and Konner (1987), Anderson et al. (p. 208) coded ideals of female bodily “beauty” as (1) plump or fat, (2) not too fat or too thin, or (3) slim or slender, whereas we sought to assess whether “fatness” or “thinness” is valued in the society, for whatever reason: beauty, sexuality, health, or reproductive considerations. We assessed the relationship between these two measures on all cases that were included in both studies and found that ρ=−.62 (P<.001); the coefficient is negative because the valuation of fat is the high end of our scale. Thus, although the two dependent variables are not perfectly related, they tap something in common, and the opposing results of the two studies remain to be explained.
Another possible source of differences is the definitions of resource scarcity. Anderson et al. (1992, p. 208) created a four-point “nutritional stress” scale (see our Appendix) from the “Preservation and Storage of Food” codes of Murdock and Morrow (1970), which are meant to reflect food storage adequacy within the context of resource fluctuation, whereas our measures of resource scarcity concern adequacy of food supplies, not storage. Unlike the dependent variables, the two studies' independent variables are surprisingly unrelated: the rhos between the nutritional stress scale of Anderson et al. and our resource scarcity measures are −.02 (n=37), −.02 (n=34), and −.13 (n=31) for threat of natural disasters, threat of famine, and chronic scarcity, respectively. We infer that the measure of Anderson et al. is not, in fact, a measure of resource scarcity, and we further checked this inference by correlating it with codings from Dirks (1993): none of the seven measures of severity of famine and food shortage of Dirks was significantly related to the Anderson et al. nutritional stress measure at P<.05 (one tailed). Instead, the Anderson et al. (1992) measure appears to tap food storage (see below), with which it is highly correlated (ρ=.56, P<.001, one tail).
Then why did not both of our samples show a relationship between valuing fatness and threat of disasters? We think that another variable may be modulating the relationship–degree of food storage. We can measure that variable by using “food surplus via storage” (Variable 21 in World Cultures, 2001, Vol. 12, No. 2,), which is recoded from the same Murdock and Morrow scale 10 used by Anderson et al. (1992). The recoding, which emphasizes storage, is (1) none or barely adequate; (2) simple or adequate; or (3) complex or more than adequate. (We changed the coding for one culture, the Ganda, whom we recoded as a 1 because the asterisked remark in Murdock and Morrow, (1970), indicates no appreciable storage.)
Food storage is not significantly related either to the valuation of fatness in women or to any of our three measures of resource scarcity, but it does modulate their relationships to one another. In societies with little or no storage (score 1), high threat of disasters significantly predicts low valuation of fatness (in our combined samples, ρ=−.56, P=.02, two tails, N=17), as we found in Sample 1, but in societies with some storage (scores 2–3), threat of disasters has no relationship to the valuation of fatness in women.
3.2. Other possible predictors of the valuation of fatness
Resource scarcity did not predict the valuation of fatness in the presence of storage. What does? Two factors that Anderson et al. suggest may be relevant are climate and male dominance. It is plausible that extra fat is favored in cold climates for the same reasons that cold selects for shorter limbs and stocky bodies, and Anderson et al. (1992) found some support for cold's relevance, that is, a significant relationship between higher latitude and the idea that fat is beautiful. We looked at two measures that should tap colder climate: mean annual temperature (from Whiting, 2001: Variable 186) and absolute latitude [Variable 833.1 in World Cultures, Vol. 12 (2)].
Are societies in colder climates more likely to value fatness in women? We find no evidence in support of this claim. As Table 1 shows, whether food storage is absent, present, or ignored (compare the three columns), we find no significant relationships between valuation of fat and either latitude or mean annual temperature. (A reviewer suggested that inconsistent results on this point may again reflect the effect of an unmeasured modulating variable, namely, the adequacy of clothing/shelter. This is a possibility for future research.)
Table 1. |
Storage absent or minimal (Score 1) | Storage more than minimal (Scores 2–3) | Ignoring storage | |||
---|---|---|---|---|---|
Climate | |||||
Latitude | .03 (n=23) | −.14 (n=24) | −.06 (n=47) | ||
Mean annual temperature | .02 (n=23) | .05 (n=24) | .05 (n=47) | ||
Male dominance | |||||
View that men dominate | −.33 (n=8) | −.45 (n=8) | −.38† (n=18) | ||
High value on males being aggressive, strong, and sexually potent | −.81⁎⁎⁎ (n=9) | −.61⁎ (n=9) | −.58⁎⁎(n=16) | ||
Correlations shown are Spearman rhos. |
⁎
P<.05, one tail. ⁎⁎P<.05, two tails. ⁎⁎⁎P<.01, two tails. †P<.10, one tail. |
Anderson et al. (1992) also claim support for the idea that male dominance is relevant: They found that two variables in the cross-cultural study of the status of women of Whyte (1978) significantly predict the valuation of fatness in women, namely, “an explicit view that men should and do dominate their wives” [Variable 621 in World Cultures, Vol. 12 (2)] and “a high value on males being aggressive, strong and sexually potent" [Variable 625 in World Cultures, Vol. 12 (2)]. We retested the conclusion of Anderson et al. with respect to both variables.
Because both “male dominance’ variables are coded such that higher scores indicate less of the trait in question, the conclusions of Anderson et al. predict negative correlations with the valuation of fatness in women, and indeed, all the correlations are negative (Table 1). Whyte only coded half of the SCCS sample cases, hence, the ns with controls on storage are small. Even if we look at the relationships without controlling on storage (see the bottom cell in Column 3), an effect of Variable 625 is significantly supported. An effect of Variable 621 is not, but the results are in the same direction.
4. Discussion
4.1. Food storage and the valuation of fatness in women
How do we interpret the fact that fat is not always valued? Could thinness be adaptive when there is little food storage and a high threat of disasters? A controversial “small but healthy” hypothesis (Seckler, 1980, Seckler, 1982, as cited by Pelto & Pelto, 1989) suggests that adjusting growth to low food availability in childhood may be adaptive in situations with frequent resource scarcity, but this hypothesis does not suggest that being thin would be adaptive, only that smaller stature might sometimes be fitter if a child can maintain normal weight for height. Most scholars reject the notion that stunting can be construed as healthy, citing many medical and social reasons why stunted children would be disadvantaged (Beaton, 1989, Martorell, 1989, Messer, 1989, Pelto & Pelto, 1989, Scrimshaw & Young, 1989). In individual selection terms, someone with stored body fat would surely be more likely to survive a serious food disaster than would a very thin person. However, if selection between groups were relevant, it may be a different matter. For example, Stini (1971, p. 1027; cf. Beaton, 1989, p. 36; Thomas, 1973, as cited by Messer, 1989) suggests that more individuals could survive on available resources with proportional reductions of body size because each individual would then have lower nutritional requirements. Given the relationship between body size and the amount of food needed to maintain that size (Beaton, 1989, p. 36; cf. Gaulin & Sailer, 1985, p. 112), a group selection argument could be applicable to thinness. Collectively, thinner individuals need fewer calories, thus, if one cannot “save up” enough to cover unpredictable scarcity (measured here by threat of disasters), it may be more adaptive to require less food. Dirks (2004) points to cases in the ethnographic record that have cultural eating patterns consistent with the society preparing for famine; it seems as if the social group anticipates the need to control eating. For example, the Cagaba of northern Colombia glorify fasting (Reichel-Dolmatoff, 1951, as cited by Dirks, 2004). And the Gurage of Ethiopia take very light meals, behaving as if food were scarce (Shack, 1971, as cited by Dirks, 2004). Paque (1980) suggests that religious fasting (e.g., Ramadan) may have served as a buffer against famine and lack of water in desert climates. In the face of unpredictable famine, it also might be better for the group to lower rates of reproduction, at least while resources are poor. A pregnant and lactating woman has high caloric needs, and if women are encouraged to be thin, they are less likely to reproduce as quickly (Frisch, 1980).
Why would food storage change the relationship between the valuation of fatness in women and the threat of natural disasters? Food storage provides an extrasomatic way to protect against unpredictable resource scarcity. Many societies have “famine” food that they tap only if necessary, and where there are cultural means of mitigating famine, it may be less important for the group to save resources via small bodies or thinness, and it may be advantageous (for both groups and individuals) to have some plumpness. Calories can be stored in two ways—on and off the body. General thinness could also protect people from unpredictable resource scarcity, especially in the absence of storage.
4.2. Male dominance or protest masculinity?
Although “a high value on males being aggressive, strong, and sexually potent” (ASP henceforth) is strongly related to valuation of fatness in women, we question whether this variable measures male dominance. This variable is ideological and may or may not reflect actual male dominance. The codes come from a larger study of the status of women by Whyte (1978, pp. 96–100), who concludes that there is no unitary phenomenon of status; at best, there are nine weak clusters of status variables. What is important to note here is that ASP did not fall into any cluster suggesting actual male dominance (e.g., property control, power in kinship contexts, domestic authority, or control of women's marital and sexual lives), but into a cluster that Whyte calls “ritualized fear of women,” apparently because the cluster also includes “belief that sexual activity is dangerous.” In sum, the fact that ASP is not correlated with various aspects of male dominance suggests to us that ASP reflects something else, namely, what has been called “machismo” or “protest masculinity.”
In the literature of psychological anthropology, machismo or protest masculinity is viewed by some as stemming from conflict and insecurity in males about their masculinity. One model of the conditions favoring protest masculinity and its consequences, referred to as “status-envy theory,” was proposed by the Whitings and their colleagues (Burton & Whiting, 1961, Whiting, 1960, Whiting, 1965), who suggested that the roots of protest masculinity begin early in life, with father absence or low father salience. If the boy perceives that the mother controls most resources, he will develop an early, unconscious feminine identification. Later, if the boy learns that men actually control most resources, he will develop a secondary masculine identification. Conflict between the early and later identifications should be greatest with low father salience early in life and actual high male dominance. To resolve their sex–identity conflict, boys will try hard to show how masculine they are by overcompensating and exaggerating what is viewed as masculine behavior. Whiting (1965) suggests that males exhibiting protest masculinity will also show antagonism and even fear of women and may avoid the company of women as much as possible. Such behaviors are assumed to be defensive responses to the unconscious fear of being feminine.
Broude and Greene (1983) rated husband–wife activities to measure aloofness versus intimacy. While some husband–wife activities such as sleeping arrangements may be governed by other considerations, such as men's houses and men having to work far from home, two activities that seem particularly reflective of psychodynamics are whether husband and wife eat together and whether they spend leisure time together. We correlated measures of these traits [World Cultures (2001), Vol. 12 (2), Variables 752 and 753; originally from Broude & Greene, 1983] with ASP and found that where ASP is high, men eat separately from women (ρ=−.35, P<.01, one tail, n=52) and spend their leisure time separately (ρ=−.42, P<.001, one tail).
Does ASP reflect sexual potency, or just the protestation thereof? If it reflects interest in a great deal of sex, it should be correlated with a high desirability of sex in marriage. But it is not. [The ρ is .03; the data on desirability of sex in marriage come from World Cultures (2001), 12 (2), Variable 160; originally from Broude & Greene, 1976].
A meta-analysis by psychologists, covering 39 studies, suggests that “hostile masculinity” and “hypermasculinity” are highly correlated with sexual aggression, including rape by males against females (Murnen, Wright, & Kaluzny, 2002). A purportedly direct measure of “rape frequency” [World Cultures (2001), 12 (2), Variable 174, originally from Broude & Greene, 1976] is highly correlated with ASP: ρ=−.77 (n=17; P<.001), which is consistent with the meta-analysis. For additional tests of the hypothesis that ASP reflects protest masculinity, it would be good to get measures of the propensity of men to behave aggressively in reaction to perceived slights to their masculinity or to the perception that their wives were interested in other men. Such measures are not currently available, unfortunately. But we do find that societies with a high value on ASP are much more likely to accept violence towards members of the local community [World Cultures (2001), 12 (2), Variable 781; originally by Ross, 1983: ρ=.62, P<.001, one tail, n=22].
Even if we are correct about high ASP reflecting protest masculinity, we are still left with the need to explain why protest masculinity should predict valuing fatness in women. If males are trying hard to show how male they are or how inferior women are, they are not likely to seek wives for companionship or for a close emotional relationship. Left to their own (not society's) choice, such males might even prefer not to marry. But if they do, it will likely be for pragmatic reasons, such as having a wife to manage a household and produce children. If fatness is a proxy for fertility, then macho males might prefer fatness in women.
What we are suggesting here seems consistent with the argument of Draper and Harpending (1982) that males with protest masculinity are following a directly adaptive reproductive strategy that they label the “cad” strategy. But alternatively, we might view protest masculinity as an inadvertent consequence of other adaptive processes. In particular, we have previously presented evidence that warfare results from people's attempts to gain resources in the face of expectable but unpredictable scarcity (Ember & Ember, 1992a). When there is internal warfare (within the society or language group), which is the most frequent kind of warfare in the ethnographic record, men often marry women from enemy communities (Ember, 1978). Husbands and wives in such situations tend to have aloof relationships, as indicated by their sleeping separately (Whiting & Whiting, 1975, Ember, 1978, p. 674), which will create relatively high father absence. In addition, with high male mortality in warfare, which also may be likely, polygyny may be an adaptive response to an excess of women because it allows all women to marry and reproduce (Ember, 1974). Hence, polygyny may also increase protest masculinity. The Draper/Harpending scenario postulates that protest masculinity is directly adaptive; our scenario suggests that protest masculinity is not itself adaptive, but results from other adaptive processes. More research is needed to decide between these two scenarios. In any case, the results presented here are consistent with the idea that valuing fatness in women may be associated with protest masculinity.
4.3. Conclusions
In sum, our study does not support the hypothesis that more resource scarcity predicts valuing fatness in women. Using our own measures of the valuation of fatness or thinness in women and of resource scarcity, we obtained results opposite to those of Anderson et al. (1992) in one sample, and no relationship in another. We suggest that the dependent variables in the Anderson et al. study and ours were measuring similar attributes, but the independent variables were not: Anderson et al. were not measuring resource scarcity, but food storage, which apparently modulates the relevance of resource scarcity to fat valuation. We also failed to support Anderson et al. with respect to the relevance of cold climate, but we did replicate their result that “a high value on males being aggressive, strong, and sexually potent” (ASP) predicts valuing fatness in women. We suggest that ASP does not really reflect male dominance, as Anderson et al. assume, but rather protest masculinity. Why protest masculinity may relate to valuing fatness in women needs further evaluation.
In the United States, shifts towards valuing thinness versus fatness seem to have coincided with the rise of women's movements in the 1920s and late 1960s. Consider that Marilyn Monroe epitomized beauty in the 1950s; she was well-rounded, not thin. “Thin” became more popular when people (particularly women) began to question early marriage and staying home to be mothers of large families. They appear to have rejected male chivalry and preferred men who were sensitive and caring. (Dennis Werner, personal communication, suggested this argument.) Was machismo behavior also less acceptable at those times? We suggest that it was, particularly among intellectuals and the elite. Whether and how these changes are causally connected require further investigation.
The cross-cultural results here are more complex than expected. We have tried to clarify the possibilities, even if we have complicated them. We hope that our work will stimulate further research on the conditions under which fatness is culturally valued.
Acknowledgments
The coding of three measures of resource scarcity (threat of natural disasters, threat of famine, and chronic scarcity) was supported largely by two grants awarded to the Embers by the National Science Foundation (BNS-8211024 and BNS-8606337). They also received two small grants from the Research Award Program of the City University of New York. We thank the anonymous reviewers of an earlier version of this paper for their suggestions, and the journal editors Margo Wilson and Martin Daly for their comments and editorial suggestions.
Appendix. Codings of major variables
Numbered columns code the following variables; see text for fuller explanation of each. (1) Sample 1 or 2. (2) Degree to which fatness is positively valued in women. (3) Anderson et al.'s (1992, p. 208) code for beauty. (4) Anderson et al.'s (p. 208) measure of food shortages, derived from Murdock and Morrow (1970). (5) Food storage. (6) Threat of weather or pest disasters. (7) Threat of famine. (8) Chronic resource problems. (9) Mean annual temperature. (10) Latitude. (11) High value on males being aggressive, strong, and sexually potent (low score=high value); from Whyte (1978). (12) Men are believed to dominate their wives (low score=high value); from Whyte.
ID number | Society name | (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) | (11) | (12) | ||
1 | Nama Hottentot | 2 | 4.00 | 1.0 | 3 | 1 | 2.00 | . | . | 21 | 27.5000 | . | 2 | ||
2 | Kung Bushmen | 2 | 3.75 | 2.0 | 3 | 1 | 4.00 | . | 3.00 | 21 | 19.8330 | . | . | ||
3 | Thonga | 2 | 3.00 | 1.5 | 1 | 1 | . | 3.00 | . | 24 | 25.8330 | 2 | . | ||
12 | Ganda | 1 | 5.00 | 1.0 | 3 | 1 | 2.00 | 3.50 | . | 20 | .3330 | . | . | ||
13 | Mbuti | 2 | 3.00 | 2.0 | 3 | 1 | 1.00 | 1.00 | 1.00 | 23 | 1.5000 | 3 | 2 | ||
16 | Tiv | 1 | 4.50 | 1.5 | 1 | 1 | . | . | . | 27 | 7.2500 | . | . | ||
21 | Wolof | 1 | 3.00 | . | . | 1 | 3.00 | 2.00 | 3.00 | 24 | 13.7500 | 2 | 1 | ||
26 | Hausa | 1 | 4.00 | 2.0 | 4 | 3 | 4.00 | 4.00 | 2.00 | 25 | 10.5000 | . | . | ||
28 | Azande | 1 | 4.00 | 1.0 | 1 | 1 | . | . | . | 25 | 5.0830 | . | . | ||
34 | Masai | 1 | 2.00 | 3.0 | 3 | 1 | 4.00 | 3.00 | . | 17 | 3.5000 | . | . | ||
36 | Somali | 1 | 4.00 | 2.0 | 3 | 1 | 2.00 | 2.00 | . | 24 | 9.0000 | . | . | ||
37 | Amhara | 1 | 4.50 | 1.0 | 3 | 2 | 1.00 | 2.00 | 1.00 | 26 | 12.5000 | 1 | 1 | ||
43 | Egyptians | 2 | 5.00 | 1.5 | 3 | 2 | 4.00 | . | 2.00 | 24 | 24.7500 | 1 | 1 | ||
46 | Rwala Bedouin | 2 | 2.50 | 2.0 | 3 | 1 | 4.00 | 3.00 | . | 18 | 33.2500 | . | . | ||
49 | Romans | 2 | 1.50 | 3.0 | 2 | 2 | . | 2.00 | 1.00 | 15 | 41.6670 | 3 | 2 | ||
52 | Lapps | 1 | 5.00 | 1.0 | . | 2 | 1.00 | 1.00 | . | −1 | 68.7000 | . | . | ||
60 | Gond | 2 | 2.50 | 3.0 | 3 | 3 | 1.00 | 1.00 | 1.00 | 27 | 19.6250 | . | . | ||
62 | Santal | 1 | 3.00 | . | . | 1 | 2.00 | . | 3.00 | 25 | 23.5000 | . | . | ||
68 | Lepcha | 2 | 1.50 | 3.0 | 3 | 2 | 1.00 | 1.00 | 1.00 | 1 | 27.5000 | . | . | ||
69 | Garo | 1 | 3.00 | 2.0 | 3 | 3 | 2.00 | . | 1.00 | 24 | 26.0000 | 3 | 1 | ||
73 | Vietnamese | 2 | 3.00 | 2.0 | 3 | 2 | 4.00 | 1.00 | . | 25 | 20.5000 | . | 1 | ||
76 | Siamese | 1 | 3.00 | . | . | 1 | 3.00 | 1.00 | 1.00 | 28 | 14.0000 | . | . | ||
84 | Balinese | 2 | 3.00 | 2.0 | 3 | 2 | 2.00 | . | 1.00 | 26 | 8.5000 | . | . | ||
91 | Aranda | 1 | 5.00 | 1.0 | 2 | 1 | 2.00 | 2.00 | . | 21 | 24.2500 | . | 1 | ||
94 | Kapauku | 1 | 4.00 | 2.0 | 3 | 3 | 3.00 | 1.00 | 1.00 | 26 | 4.0000 | . | . | ||
98 | Trobrianders | 1 | 2.00 | 3.0 | 4 | 3 | 4.00 | 4.00 | 2.00 | 27 | 8.6400 | . | . | ||
100 | Tikopia | 1 | 3.00 | . | . | 2 | 4.00 | 3.00 | 2.00 | 25 | 12.5000 | . | . | ||
109 | Trukese | 2 | 4.75 | 1.0 | 3 | 2 | 2.00 | . | . | 27 | 7.4000 | 3 | 1 | ||
112 | Ifugao | 1 | 5.00 | 3.0 | 3 | 2 | 3.00 | 1.00 | 1.00 | 28 | 16.8330 | . | . | ||
116 | Koreans | 1 | 4.00 | . | . | 1 | 2.00 | 2.00 | 3.00 | −3 | 37.6000 | . | . | ||
118 | Ainu | 2 | 4.00 | 1.5 | 3 | 2 | 1.00 | 2.00 | 2.00 | 6 | 42.8330 | . | . | ||
121 | Chukchee | 1 | 5.00 | 1.5 | 3 | 1 | 3.00 | 2.00 | 1.00 | −8 | 66.5000 | 1 | 1 | ||
124 | Copper Eskimo | 1 | 3.00 | 1.0 | . | 2 | 3.00 | 4.00 | 2.00 | 12 | 68.0000 | . | . | ||
127 | Saulteaux | 1 | 3.00 | . | . | 1 | . | . | . | −1 | 52.0000 | 2 | 1 | ||
129 | Kaska | 2 | 4.00 | 1.0 | 1 | 1 | . | 2.00 | 2.00 | −2 | 60.0000 | 2 | 1 | ||
135 | Pomo (Eastern) | 2 | 3.50 | 2.0 | 3 | 2 | . | 1.00 | 1.00 | 15 | 39.0000 | 3 | 2 | ||
150 | Havasupai | 2 | 4.75 | 1.0 | 3 | 2 | 4.00 | . | . | 9 | 35.8330 | . | . | ||
158 | Cuna (Tule) | 1 | 4.00 | . | . | 3 | 1.00 | . | . | 27 | 9.2500 | . | . | ||
159 | Goajiro | 2 | 3.50 | 2.0 | 3 | 3 | 4.00 | 2.00 | 2.00 | 28 | 11.9170 | 2 | 1 | ||
162 | Warrau | 2 | 3.00 | 2.0 | 2 | 1 | 4.00 | . | . | 15 | 9.0780 | . | . | ||
165 | Saramacca | 1 | 4.00 | . | . | 2 | 2.00 | 2.00 | . | 28 | 3.5000 | 2 | . | ||
167 | Cubeo (Tucano) | 1 | 5.00 | . | . | 2 | . | . | 2.00 | 25 | 1.2500 | 2 | . | ||
169 | Jivaro | 2 | 3.75 | 1.0 | 3 | 1 | . | 1.00 | 1.00 | 25 | 3.0000 | 1 | . | ||
173 | Siriono | 2 | 4.50 | 1.0 | 2 | 1 | 1.00 | 1.00 | 2.00 | 23 | 14.5000 | 1 | 1 | ||
177 | Tupinamba | 2 | 4.50 | 2.0 | 3 | 1 | 1.00 | . | 1.00 | 27 | 22.7920 | 1 | . | ||
186 | Yahgan | 2 | 3.00 | 2.0 | 3 | 1 | 4.00 | 1.00 | 1.00 | 5 | 55.5000 | . | . | ||
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a Human Relations Area Files at Yale University, New Haven, CT, United States
b Center for Civilizational and Regional Studies, Russian Academy of Sciences, Russia
c State University of New York at New Paltz, United States
Corresponding author. Human Relations Area Files, 755 Prospect Street, New Haven, CT 06511, United States. Tel.: +1 203 764 9401; fax: +1 203 764 9404.
PII: S1090-5138(05)00011-5
doi:10.1016/j.evolhumbehav.2005.02.001
© 2005 Elsevier Inc. All rights reserved.