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Record W2096714922 · doi:10.7202/011162ar

Implantation multisite du programme Integrated Psychological Treatment (IPT) pour les personnes souffrant de schizophrénie. Élaboration d’une version renouvelée

2005· article· fr· W2096714922 on OpenAlexaffvenueabout
Catherine Briand, René Bélanger, Virginie Hamel, Luc Nicole, Émmanuel Stip, Daniel Reinharz, Pierre Lalonde, Alain Lesage

Bibliographic record

VenueSanté mentale au Québec · 2005
Typearticle
Languagefr
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsInstitut universitaire en santé mentale de Montréal
Fundersnot available
KeywordsPsychologyHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Brenner's Integrated Psychological Treatment (IPT) program (Brenner et al., 1992 ; Pomini et al., 1998), a cognitive-behavioural approach, was implemented in nine of Quebec's clinical settings that treat people with schizophrenia. A study allowed an evaluation of the IPT program in each location, with emphasis on the level of satisfaction of both participants and professionals, the program's strong points, and areas where improvements were needed. The results have shown that the implementation of the program has been successful in all nine clinical settings. Professionals and participants appreciated the IPT program not only for its hierarchic structure that considers the rehabilitation needs of people affected by schizophrenia, but also for its customised application framework, which allows a regular follow-up of a similar group of patients over the course of a one year period. As a result of this study, the modifications proposed and additions have enabled the creation of a Quebec version of the IPT program, which better achieves its objectives, particularly those relating to the maintenance and generalisation of social learning in the context of a participant's real-life situation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.856
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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 head0.030
GPT teacher head0.317
Teacher spread0.287 · 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 designOther design
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

Citations38
Published2005
Admission routes3
Has abstractyes

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