Bibliographic record
Abstract
Le discours sur le changement climatique nie souvent le chagrin et le deuil associés aux altérations environnementales qui en résultent. Le deuil, cependant, a le potentiel d’élargir le discours sur le changement climatique de manière politiquement et éthiquement productive. Cet article étend l’analyse du deuil aux non-humains par la reconnaissance d’une vulnérabilité partagée et examine la manière de constituer les non-humains comme entités que l’on peut pleurer. En élargissant ainsi le discours, la recherche, l’éthique et la politique sur le changement climatique, et en dépassant l’humanisme pour fonder une écologie éthique du deuil, nous examinons comment le fait de considérer le changement climatique comme un travail de deuil peut contribuer à une démocratie écologique à venir et à la mise en place d’un ordre politique plus inclusif.
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 | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".