Bibliographic record
Abstract
Le présent texte appuie son argumentation sur deux présomptions : à savoir, en premier lieu, que la photographie se prêterait d’emblée au politique, ici entendu comme l’ensemble des rapports de pouvoir qui rendent possible l’image, et, en second lieu, que le corps se prête lui aussi aux figures du politique. Se référant à une position qui comprend l’image dans l’amont de sa préparation, fondée sur l’intentionnalité de l’artiste, l’auteur analyse le cas de l’image connue d’Hippolyte Bayard, Autoportrait en noyé, en plus d’étudier celles des artistes contemporains Rafael Goldchain, Geneviève Cadieux, Chuck Samuels, Evergon, Alexandre Castonguay et Pascal Grandmaison. Au fil des réflexions où l’autoportrait apparaît comme le mode quasi ontologique de la photographie, l’auteur en vient à cerner un pouvoir confondant de la photographie contemporaine, fondée sur le retournement et le leurre.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.014 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.026 | 0.004 |
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".