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Record W4399622398 · doi:10.35502/jcswb.372

“Client health is part of my job”: A qualitative study of attitudes and experiences of legal personnel in British Columbia’s Downtown Community Court

2024· article· en· W4399622398 on OpenAlexafffundvenueabout
Kristi Heather Kenyon, Regiane Garcia, Ada Chukwudozie

Bibliographic record

VenueJournal of Community Safety and Well-Being · 2024
Typearticle
Languageen
FieldHealth Professions
TopicMedical Malpractice and Liability Issues
Canadian institutionsUniversity of WinnipegManitoba Beekeepers' Association
FundersFondation pour la recherche juridique
KeywordsDrug courtMental healthPublic relationsLawTherapeutic jurisprudenceMandatePolitical sciencePsychologyPsychiatry

Abstract

fetched live from OpenAlex

Established in Vancouver in 2008, British Columbia’s Downtown Community Court (DCC) is Canada’s first community court. Set up specifically to address offences stemming from mental illness, substance use and poverty, the court brings together justice, health and social services, offering a tailored response to the cycle of reoffending and public safety concerns in the city’s core. Focusing on the perspectives of legal actors, we examine the court as an unexpected site of health intervention. This qualitative interview-based study explores how judges, crown counsels and defence lawyers perceive their role and that of the court in relation to the health and wellbeing of court clients. Our findings show that legal personnel typically see health as a central part of the court’s intervention and similarly view client health as a critical part of their own jobs. Respondents describe the court’s ability to engage with those facing complex health and legal issues as unique, attributing it to its legal professionals’ holistic view of their roles, the court’s strategic community location and its unusual structure, which facilitates information sharing and attracts personnel invested in its mandate. The article identifies three primary needs: 1) enhanced education on client health for legal professionals, 2) nuanced metrics to evaluatethe court’s health impacts and, 3) longitudinal client-centred research to measure the DCC’s long-term effects on health.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.443
Teacher spread0.381 · 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 teacher head, not a consensus.

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
Published2024
Admission routes4
Has abstractyes

Explore more

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