Men can change: transformation, agency, ethics and closure during critical dialogue in interviews
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
Some male interviewees encounter difficulties when they try to express their emotions and overcome anti-feminist positions that transform the research setting into places where hyper-masculinities are reproduced. This research finds that critical dialogue is a persuasive tool interviewers can employ to challenge their participants to empathize with perspectives that contest and confront gendered violence, institutional coercion, and misogyny. Drawing on eight interviews I conducted with male security officers (all former colleagues of the author) who engaged in healthcare violence against male and female psychiatric patients at two hospitals in Ottawa, Canada, I discovered that dissent and the testament of past sufferings inspires people to reconsider their marginalizing standpoints, and helps participants and researchers who have experienced trauma before and during the research process to cope with their emotional suffering and find closure. This approach may encounter ethical problems such as researcher/participant re-victimization and distress, which may be resolved through debriefing exercises, and displays of empathy, compassion, non-judgement, and friendship.
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 | 0.176 | 0.078 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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