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Record W4252349601 · doi:10.24124/2017/54762

Clinical social work and expressive arts therapy with youth at the Prince George Native Friendship Centre

2017· dissertation· en· W4252349601 on OpenAlexaffabout
Hannah Watler

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsVancouver Island University
Fundersnot available
KeywordsFriendshipMental healthWitnessPracticumThe artsPsychologyPopulationHistorical traumaGender studiesMedicineSociologyPsychiatrySocial psychologyPolitical sciencePsychotherapistPedagogy

Abstract

fetched live from OpenAlex

Traumatic life events affect a significant percentage of the population. The effects of trauma, and complex trauma on youth can have lasting affects throughout the lifespan. Mental health statistics in Canada show a grave disparity between Aboriginal youth and non-Aboriginal youth and mirror the impacts of intergenerational trauma. This report investigates the issues Aboriginal youth face today and how expressive art therapy and trauma sensitive yoga can benefit a youth’s mental health. In reviewing the literature, extreme human rights violations are widely present throughout the history of colonization. My practicum at the Prince George Native Friendship centre granted me the opportunity to witness and engage first-hand with people affected by intergenerational trauma. This report describes how I will weave the learnings of decolonization, family centred care, and anti oppressive practice into my future work as a social worker in the mental health sector.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0120.004
Scholarly communication0.0030.001
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.095
GPT teacher head0.351
Teacher spread0.255 · 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

Citations0
Published2017
Admission routes2
Has abstractyes

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