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Ethical Principles for Conducting Fieldwork
Author(s) -
Cassell Joan
Publication year - 1980
Publication title -
american anthropologist
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.51
H-Index - 85
eISSN - 1548-1433
pISSN - 0002-7294
DOI - 10.1525/aa.1980.82.1.02a00020
Subject(s) - autonomy , categorical variable , context (archaeology) , power (physics) , control (management) , subject (documents) , sociology , psychology , epistemology , social psychology , law , political science , computer science , geography , philosophy , economics , management , library science , physics , archaeology , quantum mechanics , machine learning
Federal regulations to protect human subjects assume a particular relationship between experimenter and subject based upon biomedical research. Because this relationship is not found in every type of research, the regulations are not universally applicable. Relationships between those who study and those who are studied vary with the kind of research. Such variations depend on the relative power and control of the researcher, the direction of interaction, and the level of possible harms and benefits. Measured on these continua, fieldwork is at the opposite end of the spectrum from biomedical research. Consequently, the ethical system on which federal regulations are chiefly based—using utilitarian risk‐benefit calculations—becomes ineffective and inappropriate when applied to proposed fieldwork. Here, investigators have relatively little power and less control of the setting and context of research, interaction flows in two directions, and calculable harms and benefits are comparatively low. Various models of fieldwork are described, each having differing relationships between investigators and subjects. It is suggested that the Kantian categorical imperative, with its principle of respect for human autonomy, might be useful in judging the ethical adequacy of these varieties of fieldwork. [fieldwork, ethical principles, research relationships, federal regulations, risk‐benefit calculations]