Une étude des relations significatives d’un ex-détenu : aux sources identificatoires de la conflictualité
Bibliographic record
Abstract
Cet article présente une analyse des relations marquantes ayant teinté la vie d’un ex-détenu dont la carrière criminelle a été caractérisée par de nombreux recels. L’objectif principal est de comprendre comment certaines relations significatives ont influencé le cheminement criminel d’un homme condamné à de multiples sentences d’emprisonnement. Douze entretiens avec un criminel réhabilité ont permis de dégager trois sphères conflictuelles de ses relations interpersonnelles, regroupées sous les thèmes suivants : l’importance de la méfiance, la protection contre l’attachement et la non-valeur d’autrui. Ces thèmes sont analysés et mis en rapport avec des figures significatives de son histoire, mettant en lumière la complexité des enjeux identificatoires et projectifs en cause. En outre, l’analyse fait ressortir comment des relations significatives sont devenues des identifications structurant le devenir criminel de cet homme. Le texte fait le lien entre ces analyses et les modèles psychocriminologiques et psychanalytiques des relations d’objet et des identifications.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".