Du vinyle à YouTube : les habitudes de consommation et de recherche de musique des jeunes adultes québécois
Bibliographic record
Abstract
Il existe peu d’études récentes sur les habitudes de consommation et le comportement dans la recherche d’information musicale au Québec et au Canada. Pourtant, les études réalisées sur le sujet dans d’autres pays suggèrent que l’évolution rapide des technologies a entraîné des changements importants dans les habitudes et comportements des amateurs de musique. Il est essentiel d’avoir une bonne connaissance de ces pratiques pour concevoir des systèmes de repérage et d’exploration de la musique qui répondent aux besoins réels de leurs utilisateurs. Cet article présente les résultats d’une enquête menée auprès de 278 personnes âgées de 18 à 35 ans habitant au Québec. Les objectifs de l’enquête étaient de mieux connaître les habitudes d’achat et d’écoute de musique des jeunes adultes québécois ainsi que la façon dont ils s’y prennent pour découvrir de nouveaux artistes et de nouvelles musiques. Les résultats révèlent que les services d’écoute de musique en continu et les sites de partage de vidéos étaient utilisés par 78% des répondants. Malgré la popularité croissante de ces services, les jeunes québécois n’ont pas totalement délaissé certaines pratiques plus traditionnelles. Ils continuent de valoriser les recommandations musicales de leurs proches, d’écouter de la musique sur CD et d’acheter des fichiers musicaux, même si ces pratiques sont de moins en moins fréquentes. Very few recent studies have focused on Quebeckers’ and Canadians’ consumption and information-seeking behaviour of music for leisure. However, studies conducted in other countries suggest that the rapid evolution of technologies has resulted in important changes in practices. It is essential to gain a better knowledge of these new practices to design music information retrieval and exploration systems that meet the real needs of users. This article presents the results of a survey of 278 younger adults aged 18 to 35 living in Quebec. The objective of the survey was to increase knowledge of the music listening and purchasing behaviour of young music lovers, and to better understand how they discover new artists and new music. Results reveal that music streaming services and video-sharing websites were used by 78% of respondents. Despite the increasing popularity of these services, young Quebeckers have not entirely abandoned past practices. They still value music recommendations from friends,colleagues or relatives, listen to CDs, and purchase music files, even though these practices are becoming less frequent.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".