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Record W2120590679 · doi:10.2190/ns.20.4.c

Action Research for the Health and Safety of Domestic Workers in Montreal: Using Numbers to Tell Stories and Effect Change

2011· article· en· W2120590679 on OpenAlexafffundabout
Jill Hanley, Stéphanie Premji, Karen Messing, Katherine Lippel

Bibliographic record

VenueNEW SOLUTIONS A Journal of Environmental and Occupational Health Policy · 2011
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsMcGill University
FundersDankook UniversityMcGill University
KeywordsOccupational safety and healthLegislationPublic relationsWork (physics)Action (physics)Political scienceEnvironmental healthPsychologyBusinessMedicineEngineeringLaw

Abstract

fetched live from OpenAlex

In 2007, a Filipina organization in Quebec (PINAY) sought the help of university researchers to document the workplace health and safety experiences of domestic workers. Together, they surveyed 150 domestic workers and produced a report that generated interest from community groups, policy-makers, and the media. In this article, we-the university researchers-offer a case study of community-university action research. We share the story of how one project contributed to academic knowledge of domestic workers' health and safety experiences and also to a related policy campaign. We describe how Quebec workers' compensation legislation excludes domestic workers, and we analyze the occupational health literature related to domestic work. Striking data related to workplace accidents and illnesses emerged from the survey, and interesting lessons were learned about how occupational health questions should be posed. We conclude with a description of the successful policy advocacy that was possible as an outcome of this project.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.387
GPT teacher head0.558
Teacher spread0.172 · 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.

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

Citations25
Published2011
Admission routes3
Has abstractyes

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