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Record W2152830319 · doi:10.1176/appi.ps.56.6.705

The Role of Afro-Canadian Status in Police or Ambulance Referral to Emergency Psychiatric Services

2005· article· en· W2152830319 on OpenAlexafffundabout
G. Eric Jarvis, Laurence J. Kirmayer, George K. Jarvis, Rob Whitley

Bibliographic record

VenuePsychiatric Services · 2005
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsJewish General Hospital
FundersCanadian Institutes of Health Research
KeywordsReferralPsychiatryMedical emergencyMedicineEmergency medical servicesFamily medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: This study tested the hypothesis that among patients admitted to a hospital with psychosis, Afro-Canadian patients would be more likely than Euro-Canadian or Asian-Canadian patients to be brought to emergency services by police or ambulance. METHODS: Data on psychotic patients admitted to the psychiatry ward in 1999 were extracted from records of a general hospital in Montreal. Logistic regression models examined the relationship between being Afro-Canadian and being brought to the emergency service by police or ambulance, while controlling for age, gender, marital status, and number of psychotic symptoms. RESULTS: Of the 351 patients with psychosis, 59 percent were Euro-Canadian, 11 percent were Afro-Canadian, and 18 percent were Asian Canadian. Most Afro-Canadian patients in the study were immigrants from the Caribbean and Africa. Being Afro-Canadian was independently and positively associated with police or ambulance referral to emergency services. CONCLUSIONS: Afro-Canadians admitted to the hospital with psychosis are overrepresented in police and ambulance referrals to emergency psychiatric services.

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)0.008
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score0.297

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.015
GPT teacher head0.341
Teacher spread0.326 · 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

Citations63
Published2005
Admission routes3
Has abstractyes

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