Human Relations Area Files

The Human Relations Area Files, Inc. (HRAF), located in New Haven, Connecticut is a nonprofit international membership organization with over 300 member institutions in the U.S. and more than 20 other countries. A financially autonomous research agency based at Yale University since 1949, its mission is to encourage and facilitate worldwide comparative studies of human behavior, society, and culture. It mainly pursues this mission by producing and distributing two full-text databases on the Web, "eHRAF Collection of Ethnography" and "eHRAF Collection of Archaeology". HRAF also sponsors and edits the quarterly journal, "Cross-Cultural Research: The Journal of Comparative Social Science", and organizes and edits encyclopedias.

The two eHRAF databases on the Web are accessible to people at HRAF member institutions. Expanded and updated annually, "eHRAF Collection of Ethnography" includes materials on cultures, past and present, all over the world. (The entire "HRAF Collection of Ethnography", in paper, microfiche, and on the Web, covers nearly 400 cultures.) The second database, "eHRAF Collection of Archaeology", has been building solely in electronic format since 1999. Also expanding annually, this database covers major archaeological traditions and many more sub-traditions and sites around the world.

History

On February 26, 1949, delegates from Harvard University, the University of Pennsylvania, the University of Oklahoma, the University of Washington, and Yale University met in New Haven, Connecticut to pledge their membership in a new nonprofit research consortium to be based at Yale. The plan was “to develop and distribute files of organized information related to human societies and cultures.” The name of the new inter-university corporation was the Human Relations Area Files, Inc. (HRAF). It is an ever-growing catalogue of cross-indexed ethnographic data, sorted and filed by geographic location and cultural characteristics.

The name came from the Institute of Human Relations, an interdisciplinary program/building at Yale at the time. The Institute of Human Relations had sponsored HRAF’s precursor, the "Cross-Cultural Survey" (see George Peter Murdock), as part of an effort to develop an integrated science of human behavior and culture. On May 7, 1949, the HRAF consortium was formally established with three additional universities—the University of Chicago, the University of North Carolina, and the University of Southern California. As of 2006, there are more than 20 sponsoring members and hundreds of associate members. The HRAF Collection of Ethnography was originally distributed as paper files. From the early 1960s until 1994, most members received their annual installments on microfiche. Since 1994, the annual installments have been in electronic form, first on CD-ROM and later on the web.

Distinctiveness of the HRAF databases

The HRAF databases were developed to foster comparative research on humans in all their variety so that explanations of human behavior would be universally valid, not culture bound. Searching across cultures for particular kinds of information is facilitated by the unique indexing system (a controlled vocabulary) that HRAF has developed and refined over more than 50 years, the "Outline of Cultural Materials" or OCM. In contrast to most subject-indexing which is done at the document level, HRAF has its indexers subject index at the paragraph level.

For example, suppose users are interested in assessing the degree to which various cultures depend on stored foods. They would discover that there is an index subject category called “Preservation and Storage of Food” (OCM 251). Searching by that subject category would retrieve all of the paragraphs that describe dried, smoked, pickled, refrigerated, frozen, canned, and irraditated foods, and whatever other ways the people of the given culture store or preserve food. The analysts at HRAF, who have read through and indexed every page of every text that goes into the HRAF files, have made it possible to find the relevant information, even when the user does not know in advance which particular words (including untranslated native words) the original authors may have used. It is also possible to search the eHRAF texts by the words that actually appear in them. The most efficient searches may use a combination of OCM subject categories and words. But, if there is no standard vocabulary for the subject matter of interest, the user can always use the OCM subject categories to get to the particular kinds of information sought. Boolean searches allow combinations of OCM subject categories and/or words to be searched.

Uses of the eHRAF collections

The eHRAF Collections can be used for teaching and research on any aspect of cultural and social life. The collections are primarily organized by major geographical region, and then by culture or archaeological tradition, so researchers can access information about particular cultures, particular regions of the world, or do a worldwide or regional cross-cultural comparison. See Cross-Cultural Studies.

Cross-cultural research

Although the HRAF collections can be used for many purposes, they were primarily designed to enable researchers to find information quickly across a broad range of cultures so that societies could be compared on particular dimensions of variation. While passages in ethnographies are readily found using HRAF’s subject-indexing system, a researcher needs to develop nominal, ordinal, or interval scales to measure the particular types of variation he or she is interested in measuring.

For example, the subject category “Techniques of Socialization” (OCM 861) will find passages that deal with cultural ideas about childtraining or general methods of discipline, but coding schemes need to be developed to measure dimensions of variation, such as “degree to which corporal punishment is employed,” “degree to which threatening is employed,” or “degree to which children are praised.” It is not difficult, after a little practice, to develop ordinal scales that can allow for the coding of words into quantitative measures, and once that is done it is easy to use available software to test hypotheses, and compare, combine, and model the results. The indexed texts in HRAF are also amenable to qualitative cross-cultural comparisons.

The "eHRAF Collection of Ethnography" contains a sample known as the 60-culture "Probability Sample Files" (PSF). Researchers can use the PSF to test hypotheses on a fairly large and unbiased sample of the world’s cultures. Because the PSF sample includes only one culture randomly selected from each of 60 macro-culture areas around the world, correlations and other statistical results are likely to be trustworthy and functional, not due to duplications in the sample because of random diffusion or common ancestry. From 2000 on, "eHRAF Collection of Ethnography" has included additional randomly selected cases that may be added to the PSF for scientific sampling.

The results of cross-cultural studies using ethnography are usually correlational. But it would be informative to go beyond cross-sectional validation, in particular to see if temporal sequences validate causal theories. The "eHRAF Collection of Ethnography" often contains information from more than one time period, so while not often done, it is possible to measure ethnographic cases for two different points in time. But for many questions about cultural evolution, the ethnographic (or ethnohistorical) record is not likely to provide enough of the necessary time-series data for statistical analysis.

This dilemma particularly applies to the classical questions about human cultural evolution, including the emergence of agriculture, the rise of social inequality and the first cities, and the origins of the state. Investigators of cultural evolution can use the "eHRAF Collection of Archaeology" to study and model causal sequences. Cross-cultural (comparative ethnographic) studies can provide archaeological indicators of cultural and other (e.g., physical and social environmental) features. Using those indicators, researchers could test many causal ideas about the major events in cultural evolution and devolution on the time-series data in the archaeological record. Thus, the data in "eHRAF Collection of Archaeology" can allow researchers to determine whether evolutionary patterns in one region are repeated in others, and to determine whether the presumed causal factors in one region are important, and antecedent, in other world regions too. Comparative ethnography can tell us about cultural statics, what predicts cross-cultural variation in recent times. Comparative archaeology can tell us about cultural dynamics, what comes first and what follows what in prehistory.

More and more types of investigators—not just anthropologists—are now doing worldwide cross-cultural research. Psychologists, political scientists, sociologists, and evolutionary biologists also now use HRAF to test universal hypotheses.

ee also

*Standard cross-cultural sample

External links

* [http://www.yale.edu/hraf/ Human Relations Area Files]
* [http://www.yale.edu/hraf/basiccc.htm User's Guide: HRAF Collection of Ethnography. A Basic Guide to Cross-Cultural Research]

References

*Ember, Carol R. and Melvin Ember M. 2001. "Cross-Cultural Research Methods." (Walnut Creek, CA: AltaMira Press).

*Ember, Melvin. 1997. Evolution of the Human Relations Area Files. Cross-Cultural Research 31: 3-15.

*Ember Melvin. 2000. "HRAF at the Millennium: Blueprint for the Future". (New Haven, CT: Human Relations Area Files).

*Ford, Clellan S. 1970. "Human Relations Area Files: 1949-1969, a Twenty-Year Report". (New Haven, CT: Human Relations Area Files).

*McGee, Jon R., 2004. "Anthropological Theory: An Introductory History, 3rd Ed." (Boston: McGraw-Hill) ISBN 0-07-284046-3

*Murdock, George Peter, Clellan S. Ford, Alfred E. Hudson, Raymond Kennedy, Leo W. Simmons, John W. M. Whiting (and other collaborators). 2006. [http://www.yale.eduhraf eaching.htm "Outline of Cultural Materials", 6th ed. (New Haven, CT: Human Relations Area Files.)]

*Naroll, Raoul. 1967. The Proposed HRAF Probability Sample. "Behavior Science Notes" 2: 70-80.