Bibliographic record
Abstract
Dans cet article, l'auteur s'intéresse aux rapports existants entre la littérature et la chanson. Plus spécifiquement, il aborde la chanson « Tu m'aimes-tu » de Richard Desjardins selon la sémiotique de la réception, prenant en compte le rapport musique et texte. Cette chanson, qui a fait connaître son auteur, forme en creux un récit qui s'intègre à la narration plus générale que suggère les neuf autres pièces de l'album d'où elle est extraite. À partir d'un certain nombre d'unités discrètes relatif à l'espace, au temps et à la diégèse, il est possible de reconstituer le schéma général que soustend la pièce. En suivant le déroulement de la chanson, telle qu'elle se présente à un auditeur lors de la première écoute, l'auteur démonte les mécanismes de construction du sens qui prend forme à partir d'une information minimale contenue dans une chanson.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".