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Record W2132076546 · doi:10.3109/10826080009147474

Utilization of Common Analgesic and Anxiolytic Medications by Registered First Nations Residents of Western Canada

2000· article· en· W2132076546 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSubstance Use & Misuse · 2000
Typearticle
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsUniversity of VictoriaMinistry of Health
FundersHealth CanadaMinistry of Health, British ColumbiaMcMaster University
KeywordsCodeineAcetaminophenAnalgesicMedicineBenzodiazepinePopulationFamily medicineEnvironmental healthPsychiatryAnesthesiaInternal medicineMorphine

Abstract

fetched live from OpenAlex

The study examined utilization of acetaminophen with codeine and benzodiazepine drugs among Non-Insured Health Benefits (NIHB) program registered First Nations residents in the four western provinces of Canada and sought preliminary indicators of factors influencing utilization. A small percentage of NIHB clients in the four western provinces were excessive users of acetaminophen with codeine and/or benzodiazepines, but overall utilization of these central nervous system drugs was moderate and within the bounds of non-First Nations population use examined in this study. The study also demonstrated that utilization of acetaminophen with codeine among NIHB claimants was inversely related to the stringency of provincial regulation.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.640
Threshold uncertainty score0.848

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.028
GPT teacher head0.287
Teacher spread0.259 · 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