MétaCan
Menu
← Back to cohort
Record W1528800515 · doi:10.7202/017802ar

Vers une relecture de la perspective bayésienne du délire dans la schizophrénie

2008· article· fr· W1528800515 on OpenAlexaffvenue
Maud Champagne‐Lavau, Guillaume Marrelec-Oberhaus

Bibliographic record

VenueSanté mentale au Québec · 2008
Typearticle
Languagefr
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsInstitut Universitaire de Gériatrie de MontréalUniversité de MontréalHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Bien que l’on connaisse la proéminence des idées délirantes dans la psychopathologie, notamment dans la schizophrénie, leur étiologie n’est pas encore clairement comprise. Trois approches théoriques sont proposées dans la littérature pour expliquer la formation et le maintien des idées délirantes, mais aucune ne fait consensus. L’objectif de cet article est de montrer comment la notion de contextualisation, au centre du paradigme bayésien, pourrait fournir un cadre commun aux diverses hypothèses précédemment décrites.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.028
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.021
Scholarly communication0.0070.008
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.010
GPT teacher head0.255
Teacher spread0.245 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueSanté mentale au Québec→Same topicMental Health and Psychiatry→French-language works237,207→