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Record W1988173922 · doi:10.7202/1025226ar

Impulsivité et psychiatrie : de nouveaux outils pour mieux la définir, l’évaluer, la prévenir et la traiter

2014· article· fr· W1988173922 on OpenAlexaffvenue
Christian C. Joyal, Alexandre Dumais

Bibliographic record

VenuePsychiatrie et violence · 2014
Typearticle
Languagefr
FieldNeuroscience
TopicNeural and Behavioral Psychology Studies
Canadian institutionsUniversité de MontréalUniversité du Québec à Trois-RivièresInstitut national de psychiatrie légale Philippe-Pinel
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Bien que l’impulsivité soit l’une des manifestations les plus couramment rencontrées en psychiatrie et en psychologie clinique, elle demeure difficile à prévoir, à mesurer, à traiter, voire même à définir. Le principal objectif de cette conférence était de proposer une définition claire et opérationnelle du construit multidimensionnel de l’impulsivité, pour ensuite résumer les troubles mentaux qu’elle affecte et présenter des instruments de mesure plus sensibles susceptibles de faciliter l’évaluation psychiatrique au quotidien. Il s’agissait également de proposer l’utilisation en psychiatrie de techniques neurologiques peu coûteuses et faciles d’accès pour non seulement évaluer les risques d’impulsivité individuels, mais aussi pour les diminuer. Ces outils pourraient s’implanter dans tout milieu clinique et s’avérer complémentaires aux approches conventionnelles.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.042
GPT teacher head0.378
Teacher spread0.336 · 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; a candidate call from one teacher head, not a consensus.

Study designNot applicable
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

Citations0
Published2014
Admission routes2
Has abstractyes

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