MétaCan
Menu
← Back to cohort
Record W4302186926

[Not Available].

2012· article· en· W4302186926 on OpenAlexaboutno aff
Caroline Richard, Céline Poissant, Michel Gil

Bibliographic record

VenuePubMed · 2012
Typearticle
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsFormative assessmentMental healthQualitative researchService (business)Citizen journalismPsychologyPublic relationsMedical educationMedicineNursingPolitical scienceBusinessSociologyPsychiatryPedagogyMarketing
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: The province of Quebec has initiated a vast reform of youth mental health services. This article aims at evaluating the first year of the implementation of first-line services in Lanaudière's two local service networks. METHODOLOGY: A formative and participatory qualitative evaluation was carried out. Data collection was led by 32 key individuals who were engaged in the implementation of these services or who were involved in the decision-making process. Five semi-directed group interviews were carried out with the committees and teams concerned. The information collected is the object of a descriptive, qualitative content analysis. RESULTS: The implementation of first-line services in youth mental health in the Lanaudière region has caused partners to mobilize. This fact was identified by the group as a positive element of the establishment of these services. The decision to go ahead with the implementation of these services in spite of a lack of child and adolescent psychiatrists has strengthened these individuals' determination. On the other hand, the implementation of these services has been impeded by the lack of human resources, insufficient doctors, and difficulties with the integration of first-line services and child and adolescent psychiatry. CONCLUSION: Despite certain difficulties and differences between the local service networks in the implementation of first-line services in youth mental health, the establishment of these services seems to have caused an evolution in the institutional and clinical culture in Lanaudière.

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)0.003
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.243
Threshold uncertainty score0.346

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0030.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.7570.384

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 head0.064
GPT teacher head0.225
Teacher spread0.160 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2012
Admission routes1
Has abstractyes

Explore more

Same venuePubMed→French-language works237,207→