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Record W6969117792 · doi:10.5683/sp3/whaq6m

Canadian Tobacco Use Monitoring Survey, 2006: Cycle 1, Household File

2007· dataset· en· W6969117792 on OpenAlexaboutno aff

Bibliographic record

VenueBorealis · 2007
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsRandom digit dialingLegislationPopulationLegislatureTelephone surveyNational Health Interview SurveyPublic healthCurrent Population SurveyTobacco controlSurvey data collection

Abstract

fetched live from OpenAlex

The Canadian Tobacco Use Monitoring Survey (CTUMS) was conducted by Statistics Canada from February to June 2006 with the cooperation and support of Health Canada. Statistics Canada has conducted smoking surveys on an ad hoc basis on behalf of Health Canada since the 1960s. These surveys have been done as supplements to the Canadian Labour Force Survey and as random digit dialing telephone surveys. In February 1994, a change in legislation was passed which allowed a reduction in cigarette taxes. Since there was no survey data from immediately before this legislative change, it was difficult for Health Canada or other interested analysts to measure exactly the impact of the change. As Health Canada wants to be able to monitor the consequences of legislative changes and anti-smoking policies on smoking behaviour, the Canadian Tobacco Use Monitoring Survey (CTUMS) was designed to provide Health Canada and its partners/stakeholders with continual and reliable data on tobacco use and related issues. Since 1999, two CTUMS files have been released every year: a file with data collected from February to June and a file with the July to December data. Additionally, there is also a yearly summary. The present file covers the period from February to June 2006. The primary objective of the survey is to provide a continuous supply of smoking prevalence data against which changes in prevalence can be monitored. This objective differs from that of the National Population Health Survey (NPHS) which collects smoking data from a longitudinal sample to measure which individuals are changing their smoking behaviour, the possible factors which contribute to change, and the possible risk factors related to starting smoking and smoking duration. Because the NPHS collects data every two years and releases the data about a year after completing the collection cycle, it does not meet Health Canada's need for continuous coverage in time, rapid delivery of data, or sufficient detail of the most at-risk populations, namely 15 to 24 year olds. The Canadian Tobacco Use Monitoring Survey allows Health Canada to look at smoking prevalence by province-sex-age group, for age groups 15 to 19, 20 to 24, 25 to 34, 35 to 44 and 45 and over, on a semiannual and annual basis. Data will continue to be collected on an on-going basis depending on availability of funds.

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)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.052
Threshold uncertainty score0.175

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.014
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0520.020

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 head0.058
GPT teacher head0.281
Teacher spread0.223 · 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 designNot applicable
Domainnot available
GenreDataset

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

Citations0
Published2007
Admission routes1
Has abstractyes

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