Modèle logique de la méthode Padovan® de réorganisation neuro-fonctionnelle appliquée auprès d’adultes ayant des troubles psychotiques graves
Bibliographic record
Abstract
Selon le modele neuro-developpemental, des lesions cerebrales precoces pourraient etre a l’origine de la schizophrenie. Des difficultes sensorielles, motrices et cognitives sont egalement observees chez les personnes atteintes de cette pathologie. Considerant cela, une intervention neuro-developpementale, nommee methode Padovan® de reorganisation neuro-fonctionnelle, est utilisee cliniquement au Quebec aupres de personnes ayant des troubles psychotiques graves. But : proposer un modele logique de cette intervention appliquee aupres d’adultes atteints de troubles psychotiques graves. Methodologie : une etude qualitative, a finalite exploratoire et descriptive, a ete utilisee. Les donnees ont ete recueillies a l’aide d’une analyse des dossiers medicaux et ergotherapiques des clients d’un institut psychiatrique quebecois (n = 7) et d’entretiens avec des ergotherapeutes (n = 2). Resultats : la methode Padovan® a ete appliquee a raison de deux fois par semaine sur plus de huit mois a des clients ayant un trouble psychotique grave et d’autres pathologies associees. Malgre la presence de difficultes persistantes, des ameliorations dans des aptitudes et des habitudes de vie ont ete notees. Discussion : certaines ameliorations coincident avec celles rapportees dans des etudes anterieures sur la methode Padovan®. Conclusion : ce modele pourra guider l’evaluation des effets de la methode Padovan® aupres de cette clientele, autant en recherche qu’en clinique.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Methods About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
| gpt | no category Domain: not available · Genre: Methods About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
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 | 0.023 | 0.063 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.004 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.032 | 0.004 |
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, unvalidatedLabeled directly by 2 models reading the full record.
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".