MétaCan
Menu
← Back to cohort
Record W7095276643

Prince George Crisis Intervention Society

2016· article· en· W7095276643 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeorge (robot)Intervention (counseling)Work (physics)Suicide preventionFace (sociological concept)Poison control
DOInot available

Abstract

fetched live from OpenAlex

The community of Prince George, located in the Northern Interior of British Columbia, has limited resources to assist suicide attempters although it has one of the highest suicide rates in the province. The community also has difficulty attracting and retaining profes-sional counsellors. Consequently, those who attempt suicide are often left to deal with their problems alone. The Prince George Suicide Attempt Follow-Up Program is designed to train paraprofessionals to address the critical needs of suicide attempters. An evaluation of this project demonstrated the project's success in the preparation of paraprofessionals to work with suicide attempters while also highlighting some essential components of support and evaluation that must be met before the program can be fully implemented. Résumé La communauté de Prince George, située au nord de la Colombie-Britannique, possède des ressources limitées pour pouvoir assister les individus à tendances suicidaires même si cette communauté présente un très haut niveau de suicide dans la province. La commu-nauté fait face à une autre difficulté, celle de retenir les conseillers professionnels. Par

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.865
Threshold uncertainty score0.451

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1350.015

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 head0.032
GPT teacher head0.336
Teacher spread0.304 · 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.

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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same topicSuicide and Self-Harm Studies→French-language works237,207→