Bibliographic record
Abstract
Du fait de l’accessibilité de l’expérience cinématographique, la sociologie du cinéma offre un observatoire privilégié des contraintes de justification qui pèsent sur la production d’un discours sociologique sur l’art, à travers l’effort de justification intellectuelle exigible du chercheur qui s’implique personnellement dans un loisir artistique qui est en même temps un divertissement de masse. L’article examine des textes de référence de la littérature sociologique française sur le cinéma, de l’étude pionnière d’Edgar Morin sur Les Stars au livre de Pierre Sorlin, Sociologie du cinéma, en passant par La Distinction de Pierre Bourdieu. Il analyse la construction par le sociologue d’une position d’expertise par rapport au cinéma et la contribution du discours sociologique, par l’intermédiaire du succès remporté par ces publications, à la valorisation en France d’une vision élitiste du plaisir cinématographique et de la cinéphilie.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.014 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 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".