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Record W4254140045 · doi:10.32920/ryerson.14654160.v1

Describing the recovery experiences of not criminally responsible clients living in the community

2021· preprint· en· W4254140045 on OpenAlexaff
Irene Boldt

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsToronto Metropolitan UniversityUniversity of Toronto
Fundersnot available
KeywordsPsychologyTheme (computing)Mental healthQualitative researchMental illnessLived experiencePsychotherapistSocial psychologyPublic relationsSociologyPolitical scienceSocial science

Abstract

fetched live from OpenAlex

This study describes the recovery experiences of persons who have been found not criminally responsible on account of a mental disorder (NCRMD). A qualitative descriptive methodology was used to elicit the recovery experiences of five participants. The overarching theme that arose from the data was ‘Experiencing and understanding recovery in the forensic mental health system (FMHS) as a dynamic process of change,’ and the major themes that emerged out of the overarching theme are: ‘Recovering in the FMHS,’ ‘the Critical Role of Medication,’ ‘the Significance of Relationships,’ ‘the Importance of Helping Yourself,’ and ‘Navigating Challenges.’ The results of this inquiry reveal that the participants’ experiences of recovery are greatly influenced by their involvement in the FMHS. This study offers a preliminary understanding of how recovery is experienced by NCRMD clients who reside in the community and suggests implications for clinical practice and education, as well as future research and theory.

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)0.005
metaresearch head score (Gemma)0.014
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
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0160.014
Scholarly communication0.0060.005
Open science0.0020.011
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0040.001

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 head0.644
GPT teacher head0.471
Teacher spread0.172 · 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
Published2021
Admission routes1
Has abstractyes

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