Bibliographic record
Abstract
Les notions de racialisation et de blanchité pour analyser les espaces récréatifs en montagne ont été peu utilisées en France. Cet article confronte les représentations véhiculées par un corpus d’images promotionnelles, valorisant les corps blancs en station de sports d’hiver entre 2018 et 2020, et d’images fictionnelles, mettant en scène des protagonistes noirs et métis en montagne. Les sites Internet des stations des Alpes vantent clairement la blancheur de la clientèle de leurs espaces et relèguent les populations non blanches au sein d’espaces périphériques, voire les invisibilisent. Paradoxalement, les comédies grand public, mettant en scène des personnages noirs et métis pratiquant des activités alpines, contribuent à renforcer la montagne comme « espace blanc ». La montagne y est ainsi lue comme un espace de manifestation de la blanchité.
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 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".