Bibliographic record
Abstract
This paper provides a review of the anthology Out in the Field: Reflections of Lesbian and Gay Anthropologists (Lewin and Leap 1996a). In discussing their experiences as gay men and lesbians involved in anthropological work, the contributors to this volume address issues of identity management, ethical dilemmas, questions of representation, and the implications that their sexual identity has on the way they conduct fieldwork, particularly on how they relate to their subjects. The authors argue that lesbian and gay anthropologists have a different subject position, a different perspective on their work, and different ways of practicing anthropology than their heterosexual colleagues. The focus of this paper is an examination and critique of these claims and the politics of identity on which they are based. I argue that this politics is based on a problematic understanding of identity that remains trapped within a binary construction of sexual identity and uncritically applies labels such as 'gay' or 'lesbian' to people who do not understand themselves in these terms. Its emphasis on sameness obscures significant differences between researchers and researched and avoids dealing with questions of power in research. I conclude with a brief outline of a 'queer' commentary on such lesbian and gay identity politics and its failure to provide an effective critique of heterosexism and normative identity constructions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.018 | 0.041 |
| Scholarly communication | 0.018 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".