Bibliographic record
Abstract
Résumé Cet article présente les principaux résultats d’une étude portant sur les effets de l’induction émotionnelle, par des manipulations posturo-facio-respiratoires, sur la performance au tir de précision chez 36 aspirants policiers québécois. La participation des modifications corporelles à l’induction émotionnelle via le contrôle postural, facial et respiratoire est testée. L’effet d’émotions spécifiques sur la performance à des tâches perceptivo-motrices, autres que l’anxiété, n’est pas encore déterminé malgré des travaux en recherche qualitative tels que ceux poursuivis par Hanin (2000). Les résultats montrent que l’effet des manipulations corporelles proposées n’apparaît significatif que pour l’évaluation de la colère. La performance au tir n’est pas significativement différente, que ce soit sous l’influence des configurations corporelles colère, joie ou neutre.
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.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".