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Record W4248277744 · doi:10.24124/2019/58936

Clinical social work with child and youth mental health in Vernon Jubilee Hospital

2019· dissertation· en· W4248277744 on OpenAlexaff
Ashley Judge

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPracticumMental healthReferralVulnerability (computing)Mental illnessContext (archaeology)Unit (ring theory)NursingWork (physics)PsychologyPsychiatryMedicineMedical educationEngineering

Abstract

fetched live from OpenAlex

This report focuses on what I learned about the child and youth mental health (CYMH) system during my Master of Social Work (MSW) practicum at Vernon Jubilee Hospital (VJH) located in Vernon, British Columbia. It targets the development of child and youth mental illness, as it relates to a holistic model of health and demonstrates the significance of social and cultural contexts in the search to improve the health of Aboriginal communities and reduce the vulnerability to children and youth at risk of developing a mental illness. Services on the Women and Children’s Health Services (WCHS) unit at VJH are highlighted, including the assessment, treatment planning, safety planning, referral and safe discharge of CYMH clients. Reviewing the literature provided the theoretical context for connecting culturally diverse frameworks to clinical competencies in delivering CYMH care.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score0.796

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.004
Scholarly communication0.0040.001
Open science0.0020.007
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0120.001

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 head0.412
Teacher spread0.383 · 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 designQualitative
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

Citations1
Published2019
Admission routes1
Has abstractyes

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