L’univers du talk-show : analyse comparative de <i>Grande écoute</i> de Larry Tremblay et de <i>Small Talk</i> de Carole Fréchette
Bibliographic record
Abstract
Cet article vise à comparer deux pièces québécoises parues presque simultanément et ayant pour toile de fond l’univers du talk-show. Une grande partie de Grande écoute (2015) de Larry Tremblay et de Small Talk (2014) de Carole Fréchette propose en effet une critique des médias, tout en empruntant certains traits à ceux-ci. L’usage du dialogue et le rapport avec le·la spectateur·trice ressortent d’ailleurs transformés au contact du monde de la communication dépeint dans ces comédies dramatiques. On y observe en outre une certaine irruption de l’intermédialité, accompagnée d’une mise en scène singulière de l’intime. Au terme de l’analyse, on peut se demander si la critique de la télévision présentée par les dramaturges se ressemble et dans quelle mesure les deux textes sont susceptibles de participer ou non à la formation démocratique de spectateur·trices ou de lecteur·trices impartiaux·ales au sens où l’entend Martha C. Nussbaum (2015 [1995]).
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".