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Record W1987194901 · doi:10.1002/ajim.20116

Mortality among Ontario members of the International Union of Bricklayers and Allied Craftworkers

2004· article· en· W1987194901 on OpenAlexaffabout
Murray M. Finkelstein, Dave K. Verma

Bibliographic record

VenueAmerican Journal of Industrial Medicine · 2004
Typearticle
Languageen
FieldMedicine
TopicOccupational and environmental lung diseases
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineEnvironmental healthGerontologyDemographyPhysical therapy

Abstract

fetched live from OpenAlex

BACKGROUND: Dust exposed workers may be at increased risk of pneumoconiosis, stomach cancer, lung cancer, and obstructive lung disease. Bricklayers may experience high exposures to silica and inorganic dusts. The aim of this study was to examine the mortality pattern of bricklayers to identify occupational associations with mortality. METHODS: A cohort of 10,953 workers was assembled from records of the International Union of Bricklayers and Allied Craftworkers (IUBAC). Mortality was ascertained by linkage to the Canadian Mortality Registry at Statistics Canada. Standardized Mortality Ratios (SMRs) were computed using Ontario general population mortality rates as the reference. RESULTS: Twenty or more years from first membership, SMRs for lung (158; 130-190) and stomach (235; 140-370) cancers were significantly elevated. There were four deaths from pneumoconiosis, but non-malignant respiratory mortality SMRs were not increased. CONCLUSIONS: Bricklayers and Allied Craftworkers are at risk from diseases associated with heavy exposure to inorganic dust: lung cancer, stomach cancer, and pneumoconiosis. Dust control as well as education and training of these workers to protect themselves against inhalation hazards is necessary.

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 score0.020
Threshold uncertainty score0.986

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 studies0.0000.001
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 head0.026
GPT teacher head0.265
Teacher spread0.239 · 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

Citations21
Published2004
Admission routes2
Has abstractyes

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