A Second Look at Debriefing Practices: Madness in Our Method?
Bibliographic record
Abstract
This article is a reconsideration of Tesch's (1977) Tesch, F. E. 1977. Debriefing research participants: Though this be method there is madness to it.. Journal of Personality and Social Psychology, 35: 217–224. [Crossref], [Web of Science ®] , [Google Scholar] ethical, educational, and methodological functions for debriefing through a literature review and an Internet survey of authors of articles published in the Journal of Personality and Social Psychology and Journal of Traumatic Stress. We advocate for a larger ethical role for debriefing in nondeception research. The educational function of debriefing is examined in light of the continued popularity of undergraduate participant pools. A case is made for the methodological function of debriefing to clarify aspects of research participation. Recommendations are made to improve the conducting and reporting of debriefings.
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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 | 0.307 | 0.482 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.009 | 0.018 |
| Scholarly communication | 0.012 | 0.017 |
| Open science | 0.005 | 0.013 |
| Research integrity | 0.004 | 0.013 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".