The ethical tightrope: politics of intimacy and <i>consensual</i> method in sexuality research
Bibliographic record
Abstract
This paper seeks to analyze the construction of ethics in sexuality research in which qualitative methods are employed in the field of social sciences. Analyses are based on a bibliographic review of current discussions on research methods of queer theory and on the authors' own experiences of past research on sexuality. The article offers a theoretical perspective on the ways ethnography and in-depth interviews become methods that can rely on a consensual method and create a politics of intimacy between the researchers and research participants. The politics of intimacy may contribute to the production of a politically engaged knowledge while escaping from the moral matrix that usually governs the relationship between researchers and research participants. It is argued here that the researcher's sexed and gendered body matters for fieldwork; that the consensual method among participants may be employed in sexuality research as a fruitful tool; and that the relationships created among researchers and participants can pose a challenge to predetermined ethical guidelines in research. As a result, discussions problematize the existence of a politics of intimacy in sexuality research that is characterized by ethical relations among research participants.
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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 | 0.086 | 0.103 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.015 | 0.129 |
| Scholarly communication | 0.022 | 0.022 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".