Le lien entre préférences musicales et attitudes politiques au Québec
Bibliographic record
Abstract
Nous avons mesuré à l’aide d’un sondage sur un échantillon étudiant le lien entre les préférences musicales et les attitudes politiques, une première dans le contexte québécois. Nous observons que le lien entre les préférences musicales et les attitudes politiques est faible. Néanmoins nos résultats indiquent qu’une appréciation pour des genres musicaux « plus politiques » (rock, métal, hip-hop, folk) est associée à l’évaluation par les participants de certains partis fédéraux/provinciaux et à certaines attitudes politiques (intérêt politique, idéologie et conservatisme économique). La force de cette relation n’est pas affectée par l’implication musicale des participants. Nous observons également que la nature de cette relation est semblable aux États-Unis et au Québec.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".