L'Addiction sexuelle : idées reçues sur une souffrance méconnue
Bibliographic record
Abstract
La mediatisation recente de cas d’addiction sexuelle a mis au jour cette pathologie longtemps meconnue, en butte a de nombreuses idees recues : « L’addiction sexuelle est surtout un probleme d’homme », « La pratique d’une sexualite addictive entre adultes consentants n’entraine aucune consequence nefaste », « Tous les addictifs sexuels sont des agresseurs sexuels », « Les therapeutiques medicamenteuses et hormonales constituent de bons traitements de l’addiction sexuelle »… Loin des faits divers, a partir d’une etude clinique precise, rappelant les aspects historiques et sociologiques, les auteurs nous permettent de mieux comprendre les differentes facettes de cette souffrance, les consequences pour les malades, mais aussi pour les victimes, et les therapies disponibles a ce jour. Quentin Debray est professeur de psychiatrie honoraire de l’Universite Paris Descartes (Paris V). Pascal de Sutter est professeur de psychologie, clinicien, specialise en sexologie a l’Universite catholique de Louvain. Thierry H. Pham est docteur en psychologie. Il enseigne aux universites de Mons et de Quebec Trois-Rivieres. Patrice Louville est psychiatre, responsable d’une unite d’addictologie dans le pole Psychiatrie-Addictologie des Hopitaux universitaires Paris Ouest.
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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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.033 |
| Scholarly communication | 0.009 | 0.013 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.012 | 0.014 |
| Insufficient payload (model declined to judge) | 0.007 | 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".