Le dispositif télévisuel de la version québécoise de Tout le monde en parle
Bibliographic record
Abstract
Cet article se penche sur le dispositif télévisuel particulier de l’émission Tout le monde en parle, à cheval entre les affaires publiques et le domaine des variétés. Ce n’est pas tant la nature des échanges qui retiendra notre attention dans la présente analyse que le dispositif particulier à l’intérieur duquel ils prennent place, offrant un cadre énonciatif propice à générer un certains nombre d’effet largement indépendants du contenu discursif proprement dit. En accord avec notre conception de l’espace déictique, l’objectif est de donc de rendre compte, une fois accomplie l’étape proprement descriptive, d’une part de la manière dont le dispositif manifeste l’« état du champ » en construisant son identité discursive, et d’autre part du type de cadre participatif qu’il induit.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".