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Record W2792511787 · doi:10.1093/pch/pxx124

Tobacco use and misuse among Indigenous children and youth in Canada

2017· article· en· W2792511787 on OpenAlexaffabout
Radha Jetty, Anna Banerji, Margaret Berry, Leigh Fraser-Roberts, Roxanne Goldade, James Colquhoun Irvine, Keith Menard, Véronique Pelletier, Sam Wong, Shaquita Bell, Melanie Morningstar, Lisa Monkman, Anna Clair Ryan, Eduardo Vides, Patricia K. Wiebe, Michelle Mazerolle

Bibliographic record

VenuePaediatrics & Child Health · 2017
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsCanadian Paediatric Society
Fundersnot available
KeywordsIndigenousEnvironmental healthPsychological interventionTobacco useMedicineRecreationSocioeconomic statusPolitical sciencePsychiatryPopulation

Abstract

fetched live from OpenAlex

While tobacco is sacred in many Indigenous cultures, the recreational misuse of commercial tobacco is highly addictive and harmful. Tobacco misuse is the leading preventable cause of premature death in the world. Smoking rates among Canadian Indigenous youth are at least three times higher than for their non-Aboriginal peers, an alarming statistic on many levels. The tolls on health from extensive tobacco use range from disproportionately high individual mortality and morbidity to heavy socioeconomic burdens on Indigenous communities. Paediatric health care providers are uniquely positioned to collaborate with community stakeholders to prevent and treat tobacco misuse in young people and their families, while understanding the cultural value of tobacco for many Indigenous peoples. Targeted interventions can positively impact length and quality of life, improve overall health and decrease the immense social and human costs of tobacco misuse.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.789

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 head0.012
GPT teacher head0.240
Teacher spread0.228 · 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

Citations28
Published2017
Admission routes2
Has abstractyes

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