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Record W2081633150 · doi:10.12927/hcpol.2012.23137

Disproportionate Organizational Injustice: A Close Look at Facilities Exempted from Indoor Smoking Laws in Canada

2012· article· en· W2081633150 on OpenAlexaffvenueabout
Mohammed Al‐Hamdani

Bibliographic record

VenueHealthcare policy · 2012
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsLegislationInjusticeBusinessEnvironmental healthTobacco industryHarm reductionAddiction treatmentAddictionPublic healthPolitical scienceLawMedicineNursing

Abstract

fetched live from OpenAlex

Federal and provincial legislation bans smoking in indoor public spaces and workplaces, yet exemptions exist for residential facilities such as nursing homes and addiction treatment centres. In relying on ventilated smoking rooms, however, these organizations are failing to protect the health of their employees and clients. Increased use of risk messages regarding the harms of second- and third-hand smoke, together with enhanced nicotine replacement therapies for smokers, would rectify this disproportionate injustice. Such an approach must also recognize and counteract the efforts of the tobacco industry to block total indoor smoking bans.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.123
Threshold uncertainty score0.892

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.005
Science and technology studies0.0260.006
Scholarly communication0.0060.001
Open science0.0020.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.027
GPT teacher head0.313
Teacher spread0.286 · 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

Citations1
Published2012
Admission routes3
Has abstractyes

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