Bibliographic record
Abstract
La pratique photographique d’Aurélie Pétrel (1980) interroge le statut de l’image, son utilisation ainsi que les mécanismes de sa production. « Une prise de vue-souche ne vaut que par un mode d’existence ouvert et pluriel », déclare-t-elle. Formée à l’École des Beaux-Arts de Lyon, l’artiste enseigne au sein de la Haute École d’Art et de Design (HEAD – Genève, HES-SO) depuis 2012 et codirige le Laboratoire d’expérimentation du Collège international de Photographie du Grand Paris. Ses oeuvres ont été exposées en France (Lyon, Paris, SaintÉtienne), comme à l’international (Toronto, New York, Genève, Portugal). Aurélie Pétrel a également participé à plusieurs résidences (Cité internationale des arts, Institut français & Gallery 44 Center for Contemporary Photography à Toronto, ou encore la Villa Kujoyama, Institut français, à Kyoto)
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 | 0.000 | 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) | 0.001 | 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".