Olivier ESTEVES et Sébastien LEFAIT (2014), La question raciale dans les séries américaines. The Wire, Homeland, Oz, The Sopranos, OITNB, Boss, Mad Men, Nip/Tuck / Mathieu de WASSEIGE (avec la collaboration de Barbara DUPONT) (2015), Séries télé US : l’idéologie prime time / Vincent COLONNA (2015), L’art des séries télé, t. 2 : L’adieu à la morale
Bibliographic record
Abstract
Cessons de nous en surprendre et admettons le fait une fois pour toutes : les séries télévisées de fiction sont entrées dans le domaine des formes culturelles légitimes, au même titre que le roman, le film, l’œuvre d’art. La sériephilie, comme on appelle de plus en plus souvent l’attachement parfois passionné aux récits sériels télévisés, n’a plus à rougir de son objet et ses adeptes se recrutent dans toutes les sphères de la société. Témoigne éloquemment de cette montée en reconnaissance l’a...
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".