Another perspective: Reflections on using qualitative video-recall procedures in sexual communication research with partnered gay men
Bibliographic record
Abstract
As sex cultures evolve in complexity, so too must our research procedures. We introduce qualitative video-recall procedures and discuss the unique opportunities they present in the study of sexual communication. In a pilot study, three diverse gay male couples had video-recorded conversations about aspects of their sexual relationships that they wished to change or explore. Partners then individually watched and reflected on their partnered conversations during open-ended video-recall interviews. We discuss how reflexively engaging with these research procedures enabled the first author to (1) confront dominant and restrictive assumptions about partnered sex, (2) observe how interpersonal dynamics shape sexual communication, and (3) enhance cultural reflexivity.
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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 | 0.185 | 0.218 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.022 | 0.069 |
| Scholarly communication | 0.020 | 0.027 |
| Open science | 0.008 | 0.014 |
| Research integrity | 0.016 | 0.034 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".