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Record W2965408502 · doi:10.7870/cjcmh-2018-021

The Change Clinic Counselling Service: Blending Client-Centred and Strength-Based Practices to Improve Mental Health Services to Families

2019· article· en· W2965408502 on OpenAlexafffundvenueabout
Stephen Ellenbogen, Heather J. Hair, June Kirkland Smith, Peter Wilton

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2019
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsMemorial University of Newfoundland
FundersJaneway Children's Hospital Foundation
KeywordsMental healthSession (web analytics)Service (business)Mental health serviceTest (biology)PsychologyStrengths and Difficulties QuestionnaireService delivery frameworkNarrativeMedicineNursingClinical psychologyPsychiatryComputer science

Abstract

fetched live from OpenAlex

Operating in a small urban Canadian location, Change Clinic is a brief counselling service intended for child and adolescent mental health issues. It blends principles from different strength-based and client-centred approaches to counselling (e.g., solution-focused, narrative, and single session therapies). Using the parent-report version of the Strengths and Difficulties Questionnaire, changes in child and adolescent mental health difficulties were assessed. Compared to pre-test scores, significant improvements in behavioural, emotional, and hyperactivity problems were observed six months after delivery of the service. Effect size was estimated to be moderate (.62) based on the Added Value Score calculation. Almost three quarters of clients were served in one to two sessions.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.508
Threshold uncertainty score0.991

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.062
GPT teacher head0.356
Teacher spread0.294 · 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

Citations4
Published2019
Admission routes4
Has abstractyes

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