Les « souvenirs emprisonnés » pour traduction de l’expérience carcérale d’anciens détenus
Bibliographic record
Abstract
Dans cette étude de cas, il s’agit de mieux comprendre comment les anciens détenus que j’ai interrogés m’ont témoigné de leur expérience carcérale, à travers leurs « souvenirs emprisonnés ». Pour cela, je montre que, même si certains souvenirs sont de véritables « boîtes noires », les émotions jouent un rôle souvent essentiel dans la construction du passé carcéral, c’est-à-dire tel qu’il se donne à voir dans les témoignages d’anciens détenus. Pour saisir ce phénomène, il m’a fallu d’abord chercher, puis proposer, une définition opératoire du concept de « traduction », afin de mettre au jour aussi bien la part intentionnelle de ces souvenirs et des émotions qu’ils suscitent, que la part sociale de cette mémoire autobiographique.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; 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".