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Record W7061719924

Recovery in community mental health: thesis report

2020· dissertation· en· W7061719924 on OpenAlexaboutno aff

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2020
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsPracticumMental healthPsychological interventionAllianceSocial workMental health lawIntervention (counseling)Narrative
DOInot available

Abstract

fetched live from OpenAlex

The 450-hour advanced practicum took place at Canadian Mental Health Association Muskoka-Parry Sound (CMHAMPS) in Parry Sound, Ontario, in the counselling program and the early intervention program. CMHAMPS has set out to integrate mental health recovery into mental health services as urged by the Mental Health Commission of Canada in an attempt to reform the mental health system. The advanced practicum project was directed by the concept of mental health recovery, as originally conceived of and envisioned by psychiatric consumer/survivors; in light of how recovery is conceived of, and delivered in community mental health services. This entailed research and understanding of the origin of recovery and the original intentions of the paradigm in comparison to how mental health recovery has been implemented in mental health practice with the medical model. The utilization of anti-oppressive social work practice, structural social work practice and anti-sanism helped guide learning on how to form an alliance with mental health service users for personal and broader social change as a social worker without lived experience of madness. Narrative therapy and mindfulness practice were interventions utilized during the advanced practicum through one-to-one counselling and group sessions and are interventions that may complement recovery as envisioned by psychiatric consumer/survivors.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0030.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0320.005

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 head0.014
GPT teacher head0.247
Teacher spread0.232 · 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 designObservational
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
Published2020
Admission routes1
Has abstractyes

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