Bibliographic record
Abstract
La Passion du Christ de Mel Gibson, témoignage de foi public marqué par la violence, a soulevé bien des passions. Cette contribution tente de rendre compte, dans une perspective praxéologique, du jeu complexe des pratiques et des interactions engagées dans la relation particulière du public et des Églises à un film vu et discuté par des dizaines de millions de personnes à travers le monde. L’auteur, qui s’intéresse tout autant à la médiatisation et à la réception du film qu’à sa facture et à son contenu, rend compte d’une partie des discussions, des appréciations (ecclésiales) et des mises en garde (théologiques) par rapport à ce film. Ce qui ressort de ses observations, c’est la puissance de l’industrie de rêves qu’est le cinéma, mais aussi la variété des manières d’aborder le film, dont certaines sont, tout comme le film, marquées par la violence.
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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; 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".