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Record W2061512717 · doi:10.7202/018663ar

Santé mentale des sans-abri : faut-il intervenir davantage ?

2008· article· fr· W2061512717 on OpenAlexaffvenueabout
Jean-Luc Dubreucq

Bibliographic record

VenuePsychiatrie et violence · 2008
Typearticle
Languagefr
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversité de MontréalInstitut national de psychiatrie légale Philippe-Pinel
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

40 % des personnes sans domicile fixe de Montréal souffrent d’un trouble mental grave. Cette situation alarmante a des causes complexes. Prises isolément, aucune ne peut prétendre tout expliquer. Parmi elles, l’état actuel du droit interpelle plus particulièrement les psychiatres et les juristes dans leur devoir de protéger les personnes les plus démunies. En effet, on ne peut plus se contenter d’invoquer la désinstitutionnalisation pour expliquer la forte proportion de malades mentaux parmi les itinérants. Il faut aussi considérer le fait que les soins sont désormais donnés en tenant compte du choix des personnes qui les reçoivent. Ce respect de l’autonomie des patients est le plus souvent bénéfique mais il a aussi pour conséquence de laisser à elles-mêmes, dans un état d’extrême indigence, sans même la capacité de crier au secours, des personnes gravement malades et en rupture de soins. Il est urgent d’opposer à ce nouveau visage de l’exclusion, un devoir d’ingérence envers les personnes bafouant, bien malgré elles, leur propre droit à recevoir soins et protection. Cliniciens et juristes doivent travailler ensemble pour définir les contours de ce devoir d’intervention. Il devront trouver un nouvel équilibre entre le besoin de soins et le respect des libertés.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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.

Opus teacher head0.051
GPT teacher head0.408
Teacher spread0.357 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2008
Admission routes3
Has abstractyes

Explore more

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