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MORTALITY IN THE COKE/STEEL-MAKING TOWN OF SYDNEY, NOVA SCOTIA, 1951–1994.

2000· article· en· W4244395558 on OpenAlexaboutno aff

Bibliographic record

VenueEpidemiology · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicArchaeology and Natural History
Canadian institutionsnot available
Fundersnot available
KeywordsNova scotiaNova (rocket)CokeEnvironmental scienceGeographyArchaeologyMetallurgyEngineeringMaterials scienceAeronautics

Abstract

fetched live from OpenAlex

MORTALITY IN THE COKE/STEEL-MAKING TOWN OF SYDNEY, NOVA SCOTIA, 1951–1994. MICHEL CAMUS, BAND PIERRE, ZIELINSKI JAN, JIANG HUIXIA, SEMENCIW ROBERT. Health Canada. EMail: [email protected] Until 1988, the air of Sydney (Nova-Scotia, Canada) was heavily polluted by metals and gases emitted by a coke oven and a steel foundry. A creek pouring into Sydney’s harbour was used as a waste site. Now dubbed “the Sydney Tar Ponds”, it is heavily contaminated with PAHs, polychlorinated biphenyls (PCBs), solvents, and various heavy metals. In the early 1980s, high levels of contaminants in the sea fauna lead to a fishing ban. Populations may have been contaminated through respiratory, digestive and cutaneous routes. Previous reports have shown excess cancer mortality in the area, but were limited by short observation periods, biased comparisons, and residential misclassification. OBJECTIVES: To assess the health impact of past and present pollution in Sydney, a comprehensive health impact assessment plan was developed by citizens groups and governmental partners. In the exploratory “Phase I” of the plan, an ecologic mortality study covering 44 years of data (1951–94) was conducted to screen which of 120 causes of death suggested Sydney-specific risks relative to the surrounding and socio-economically comparable Cape Breton County. METHODS: Local mortality rates were corrected after assessing residential misclassification errors from a review of all death certificate data, using GIS tools. SMRs were computed using Canadian rates, and a Poisson chi-square statistic was used to test whether SMRs were significantly higher (P<=.05) in Sydney relative to Cape Breton County excluding Sydney. RESULTS: There was no excess mortality among the population 0 to 14 years of age. Among adults, some SMRs were significantly higher in Sydney than in CBC: “all cancers” (SMR ratio=1.05), cancers of the salivary glands(2.4), esophagus(1.3) and colon(1.3), multiple myeloma(1.8), ill-defined and secondary cancers(1.3), diabetes in males(1.6), multiple sclerosis(1.8), asthma(1.4), liver diseases(1.3). Many more SMRs were significantly elevated relative to Canada but not relative to surrounding CBC. CONCLUSION: These excess risks suggested Sydney-specific health problems but could not be attributed to specific pollution factors. Because this mortality study was less biased, more sensitive and more specific than previous ones, the observed excess risks had a greater impact on health decisions and research. They justified and were used to design well-focused case-control studies for the health impact assessment’s “Phase II”. Phase II is under way and will test specific occupational, environmental and life style hypotheses with a better control of potential confounders.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.056
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.091
GPT teacher head0.398
Teacher spread0.307 · 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

Citations0
Published2000
Admission routes1
Has abstractno

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