Les jeunes adultes à la découverte de nouvelles musiques : quel rôle pour les bibliothèques publiques ?
Bibliographic record
Abstract
Cet article présente les résultats d’une étude sur les stratégies qu’utilisent les jeunes adultes pour découvrir de nouvelles musiques. Des entrevues ont été réalisées avec 15 adultes de la région de Montréal, âgés de 18 à 29 ans. L’analyse a révélé que, pour faire des découvertes, les participants comptent principalement sur : 1) leur cercle social ; 2) les ressources du Web ; et 3) les magasins de disques. Ils font preuve d’une confiance limitée envers les experts et considèrent la recherche de musique comme une activité de loisir. Des suggestions sont données quant à la façon de tirer profit de ces résultats pour améliorer les services offerts en bibliothèque publique.
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 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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.014 | 0.055 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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; both teacher heads 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".