Researchers’ identities and their consequences for fieldwork. The methodological and scientific implications of gender, illicit practices and disclosure.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Is it possible to conduct rigorous, reflexive social science research without revealing something of oneself? This is the question I propose to address in this article, analysing the influence that my personal identities as a researcher, my gender identity, and my experiences in the drug scene had on my access to this field, the nature of the data gathered and the process of analysing that data. As a woman who uses drugs writing a research thesis on female drug users in Bordeaux and Montreal, I was very well integrated into the Bordeaux field context and much less so in Montreal, resulting in an asymmetrical comparison. This asymmetry cannot be explained without taking into account my own personal experience among drug users. My gender identity also shaped the data-gathering process: during my field research I had to contend with sexual harassment, as well as being on the receiving end of stereotypes undermining my credibility, all the while dealing with my own emotional trauma linked to past experiences of sexual violence. The resulting research is a form of “delinquent ethnography”, whose participatory dimension has clear scientific and methodological advantages, but which also raises important ethical questions. This article concludes with some proposals for protecting women researchers from gender violence and inequality in their fieldwork.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.165 | 0.368 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.045 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it