Bibliographic record
Abstract
Comme l’air, le son accompagne chaque instant de notre vie, mais trop souvent à notre insu. Les valeurs des sociétés contemporaines conduisent les individus à accepter l’inflation sonore, voire à la rechercher. Face à ces constats, une prise de conscience dès le plus jeune âge par l’éducation semble la voie du bon sens. Visant à former les acteurs d’une société plus « harmonieuse » dans laquelle l’ouïe serait réhabilitée, il semble urgent de promouvoir des valeurs respectueuses des environnements sonores, à commencer par celles inhérentes aux établissements scolaires, et de contribuer ainsi à un meilleur équilibre des relations personne-société-environnement. Cet article s’appuie sur une expérience, « approche de l’écologie sonore adaptée à l’école », pilotée par l’auteure au sein de l’école primaire du Collège international Marie-de-France à Montréal depuis la rentrée scolaire 2017.
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 | 0.013 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.015 | 0.009 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".