Active Interview Tactics in Research on Public Deviants: Exploring the Two-Cop Personas
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
The need to establish and maintain good rapport with interviewees is a methodological axiom supported by most social scientists. Some say we place unnecessary limits on data collection, however, when respondents' statements are simply accommodated. More innovative approaches are especially needed to account for varying roles and their narratives, as Goffman would have it, at different frontstage and backstage levels. Sociological focus on tolerable deviance—with emphasis on public deviance by those who promote wider tolerance through situated claims making—presents a research challenge of this nature. The interviews in this article with tattoo artists and drug reform advocates combine attention to rapport with more confrontational tactics, aiming to elicit from informants an array of interpretive standpoints. The authors term this technique “good cop, bad cop.”
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it