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Record W2339514768 · doi:10.1177/1048291115604427

From Awareness to Action

2015· article· en· W2339514768 on OpenAlexafffund
Desré M. Kramer, Keith McMillan, Emily J. Gross, Anna Koné, M. C. Bradley, D. Linn Holness

Bibliographic record

VenueNEW SOLUTIONS A Journal of Environmental and Occupational Health Policy · 2015
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsSt. Michael's HospitalPublic Health OntarioUniversity of TorontoLambton CollegeOccupational Cancer Research CentreCancer Care Ontario
FundersCanadian Cancer Society Research Institute
KeywordsAction (physics)PsychologyPolitical sciencePhysics

Abstract

fetched live from OpenAlex

An exploratory qualitative case study investigated how different sectors of a highly industrialized community mobilized in the 1990s to help workers exposed to asbestos. For this study, thirty key informants including representatives from industry, workers, the community, and local politicians participated in semi-structured interviews and focus groups. The analysis was framed by a "Dimensions of Community Change" model. The informants highlighted the importance of raising awareness, and the need for leadership, social and organizational networks, acquiring skills and resources, individual and community power, holding shared values and beliefs, and perseverance. We found that improvements in occupational health and safety came from persistently communicating a clearly defined issue ("asbestos exposure causes cancer") and having an engaged community that collaborated with union leadership. Notable successes included stronger occupational health services, a support group for workers and widows, the fast-tracking of compensation for workers exposed to asbestos, and a reduction in hazardous emissions.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.296
GPT teacher head0.522
Teacher spread0.226 · 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

Citations5
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueNEW SOLUTIONS A Journal of Environmental and Occupational Health PolicySame topicCommunity Health and DevelopmentFrench-language works237,207