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Record W3154051811 · doi:10.1002/hec.4276

A breath of fresh air: The effect of public smoking bans on Indigenous youth

2021· article· en· W3154051811 on OpenAlexaffabout
Angela Daley, Muntasir Rahman, Barry Watson

Bibliographic record

VenueHealth Economics · 2021
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsUniversity of New Brunswick
FundersNational Institute of Food and Agriculture
KeywordsIndigenousPublic healthYouth smokingSocioeconomicsEnvironmental healthDemographyPolitical scienceGeographyPsychologyMedicineSociologyTobacco control

Abstract

fetched live from OpenAlex

In general, past studies have estimated the average effect of public smoking bans on youth, ignoring differences across sub-populations. We extend the literature by considering Indigenous youth, who are a vulnerable and previously unexamined group (however, our analysis excludes First Nations youth who live on reserve). We also consider previously unexamined outcomes among youth: self-assessed health and subjective well-being. Our difference-in-differences estimates from Canada indicate that public bans reduced youth smoking and second-hand exposure in public places, on average. There was no displacement on the extensive margin, but the bans increased the number of people who smoke in the homes of youth, conditional on the presence of smokers in the household. Beyond average effects, however, we find that public bans reduced second-hand exposure in the homes of Indigenous youth (particularly Métis youth), on the extensive and intensive margins. The same youth experienced concurrent improvements in self-assessed health and life satisfaction. We conclude that public bans mitigate disparities in health and well-being between Indigenous and non-Indigenous youth, but the extent varies across Indigenous sub-populations, even within a particular country.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.258

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 studies0.0000.000
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 head0.048
GPT teacher head0.307
Teacher spread0.260 · 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

Citations6
Published2021
Admission routes2
Has abstractyes

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