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Record W6950212674 · doi:10.5683/sp3/zmic14

Occupational Surveillance in Canada, 1965-1991: Causes Specific Mortality Among Workers

2000· dataset· en· W6950212674 on OpenAlexaboutno aff

Bibliographic record

VenueBorealis · 2000
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsWorkforceSample (material)EpidemiologyMortality rateOccupational safety and healthPopulationOccupational medicineMEDLINE

Abstract

fetched live from OpenAlex

A previous publication for the province of British Columbia (Occupational mortality in British Columbia 1950-1978) was published in 1986 as Statistics Canada catalogueno. 84-544 (ISBN 0-660-59382-32872-X).This new publication helps identify occupational groups across Canada with excessive mortality due to specific causes. It also provides a Canadian monitoring system to detect previously unsuspected associations between, for example, cancer and occupationand provide a powerful tool for both generating and testing hypotheses. The publication presents the results of a longitudinal follow-up of the 10% Canadian Occupational Cohort, a sample of 700,000 individuals, both women and men, in the Canadian workforce during the period 1965-71, linked to the Canadian Mortality DataBase (CMDB) for 1965-1991.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.223
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.272
Teacher spread0.243 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2000
Admission routes1
Has abstractyes

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