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Record W2768842260 · doi:10.7202/1041925ar

La collaboration interprofessionnelle comme modalité pour résoudre les impasses thérapeutiques en pédopsychiatrie : une revue de littérature

2017· article· fr· W2768842260 on OpenAlexaffvenue
Lyne Bordeleau, Jeannette Leblanc

Bibliographic record

VenueSanté mentale au Québec · 2017
Typearticle
Languagefr
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

L’intervention auprès des enfants et des adolescents en clinique de pédopsychiatrie génère un risque d’impasses thérapeutiques élevé pour les cliniciens. L’alourdissement des difficultés des jeunes qui y sont référés et l’obligation pour les professionnels qui y travaillent de collaborer avec les différents acteurs présents auprès de cette clientèle contribuent à cette situation. Les recherches démontrent toutefois qu’il existe un lien positif entre la collaboration interprofessionnelle et l’efficacité des services en santé, et ce, même si son implantation demeure difficile. D’Amour et coll. ont développé un modèle de structuration de la collaboration interprofessionnelle qui permet d’en comprendre les processus. La revue de littérature qui constitue le sujet du présent article explore comment, en extrayant les indicateurs de ce modèle, il serait possible d’aider les professionnels travaillant en clinique de pédopsychiatrie à dénouer les impasses thérapeutiques qu’ils rencontrent.

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)0.025
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.139
Threshold uncertainty score0.277

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.043
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.005
Science and technology studies0.0050.006
Scholarly communication0.0080.008
Open science0.0030.006
Research integrity0.0030.004
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 head0.029
GPT teacher head0.416
Teacher spread0.387 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations5
Published2017
Admission routes2
Has abstractyes

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