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Record W2989743911 · doi:10.1289/isee.2011.01688

CAREX CANADA: OCCUPATIONAL AND ENVIRONMENTAL CARCINOGEN SURVEILLANCE

2011· article· en· W2989743911 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueISEE Conference Abstracts · 2011
Typearticle
Languageen
FieldChemical Engineering
TopicOdor and Emission Control Technologies
Canadian institutionsUniversity of British ColumbiaUniversity of VictoriaOccupational Cancer Research Centre
Fundersnot available
KeywordsEnvironmental healthEnvironmental sciencePopulationExposure assessmentAsbestosParticulatesToxicologyEnvironmental protectionEnvironmental chemistryMedicineChemistry

Abstract

fetched live from OpenAlex

Background and Aims: CAREX was created by the Finnish Institute for Occupational Health in the 1990s. It raised awareness regarding occupational cancer, is widely quoted, and used to assess the impact of workplace carcinogens. In 2008 we launched CAREX Canada as a population level occupational and environmental surveillance project. The objectives of the project are to identify how many people are exposed, how and where they are exposed, and their level of exposure. Methods: CAREX Canada adopted the general approach of the original CAREX project for occupational carcinogens, although estimates are produced at a finer level of resolution and groups (based on industry/occupation) are flagged for potential exposures greater than half the occupational limit. Several different approaches were taken for environmental exposures, including spatial modeling and general risk assessment using published measured concentrations. Environmental estimates were converted into benzene equivalent doses or population-level cancer risks in order to compare the relative contribution from various sources or different exposures. Results: To date we have assessed exposure to 50 occupational and 30 environmental known and suspected carcinogens. The 10 most common occupational are shift work, solar radiation, diesel exhaust, other PAH-related exposures, silica, benzene, wood dust, lead, asbestos and chromium. In the environment, highest estimated lifetime excess cancer risks (>100/million) were due to formaldehyde (indoor air) and diesel particulates (outdoor air). Elevated risks (>10/million-<100/million) were also predicted for diesel particulates, acetaldehyde, benzene, 1,3-butadiene and total chromium (indoor air); arsenic, chloroform, hexavalent chromium and bromodichloromethane (drinking water); and arsenic (food). Traffic, residential wood burning, and industrial emitters dominate emissions in watersheds and ecoregions. Conclusions: CAREX Canada is the first program of its kind in Canada. It is raising awareness of the importance of occupational and environmental cancer, providing essential data for prevention, and is already being used for surveillance, risk assessment, and epidemiology.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.615
Threshold uncertainty score0.968

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 head0.034
GPT teacher head0.204
Teacher spread0.170 · 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