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Record W2113791563 · doi:10.7202/032360ar

Évaluation économique d’un programme simulé de psychothérapie brève pour enfants présentant des troubles légers

2007· article· fr· W2113791563 on OpenAlexaffvenueabout
Brigitte Poinsier, Alison S. Laurin

Bibliographic record

VenueSanté mentale au Québec · 2007
Typearticle
Languagefr
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsUniversité de MontréalUniversité LavalInstitut Universitaire en Santé Mentale de Québec
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophyArtMedicine

Abstract

fetched live from OpenAlex

For individuals affected by mild psychosocial problems, early psychotherapeutic treatments have the advantage of preventing various pathologies that would otherwise require a medical follow-up. Multiple benefits can thus be obtained for the individual and for the society in general, including present and future treatment cost reductions, as well as the individual's increased potential and productivity once they reach adulthood. A short-term psychotherapy program aimed at pre-school children and adapted to Québec's socio-sanitary context was simulated in order to assess the advantages in terms of quality of life improvements and health service usage reductions. The cost-usage analysis shows that children treated for mild behaviour problems through short-term therapy at a very young age will benefit from a better quality of life. Because they were treated at a very young age or as soon as initial symptoms manifested themselves, these benefits will also increase throughout their life. The costs sustained by the health care system are inferior to traditional treatments and care commonly used for these types of problems.

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)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.902
Threshold uncertainty score0.195

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.096
GPT teacher head0.403
Teacher spread0.307 · 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 designSimulation or modeling
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
Published2007
Admission routes3
Has abstractyes

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