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Record W2171194866 · doi:10.25336/p6960v

Deadly occupations: Assessing tuberculosis and accidental mortality among male workers in Sydney and Glace Bay, Nova Scotia, 1909–1917

2013· article· en· W2171194866 on OpenAlexaffvenueabout
Natalie C. Ludlow, Stacie Burke

Bibliographic record

VenueCanadian Studies in Population · 2013
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of ManitobaUniversity of Saskatchewan
Fundersnot available
KeywordsDemographyNova scotiaMarital statusLogistic regressionBayAccidentalTuberculosisGeographyGerontologyMedicinePopulationSociologyArchaeology

Abstract

fetched live from OpenAlex

This study examines associations between occupation and cause of death among 802 working-age males (15 to 64 years of age) who diedin two single-industry communities (Glace Bay and Sydney) in Nova Scotia between 1909 and 1917. Employment in mining and steelmanufacturing is assessed for cause-specific mortality among men who died in Canada’s early industrial era, with a particular focus ondeaths due to tuberculosis (n=140, or 18% of deaths) and accidents (n=225, or 28% of deaths). Factoring in the effects of occupation,age at death, birthplace, community, and marital status, logistic regression results indicate that, among the men who died, occupation is a significant predictor for accidental deaths (relative to all other causes of death) but not for tuberculosis-related deaths. Interpretation of these results is grounded in a broader perspective on the nature of living and working conditions in these two single-industry communities.

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)0.000
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 score0.139
Threshold uncertainty score0.773

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 studies0.0010.000
Scholarly communication0.0000.001
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 head0.088
GPT teacher head0.427
Teacher spread0.339 · 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.

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

Citations2
Published2013
Admission routes3
Has abstractyes

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