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Record W6976347846 · doi:10.6068/dp14ba7ff5c5f94

Most Recent Data (2002). Statistics Canada. CANSIM: Children and Youth - Risk Behaviors | Country: Canada | Table: Health behaviour in school-aged children 2002, student response to question: When you smoke, how often are you in the following situations? | Variable: 13 years, Often, Females, With your mother | Units: %, 2002. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-030.

2015· other· en· W6976347846 on OpenAlexaboutno aff

Bibliographic record

VenueData Planet · 2015
Typeother
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsStatistics educationSocioeconomic statusCensusPopulationEconomic statisticsSummary statisticsOfficial statisticsHealth statisticsDescriptive statisticsPopulation statistics

Abstract

fetched live from OpenAlex

Statistics Canada (2015). CANSIM: Children and Youth - Risk Behaviors | Country: Canada | Table: Health behaviour in school-aged children 2002, student response to question: When you smoke, how often are you in the following situations? | Variable: 13 years, Often, Females, With your mother | Units: %, 2002. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 075-001-030. Dataset: Provides statistics on adolescent behaviors in Canada, including their predictors and the impact of these behaviors on healthy development. Self-perceived health, teen pregnancy, educational achievement, school failure, aggression, delinquency, mental health problems, substance use, smoking, drinking, depression, suicide, self-harm, and injury are included, as are protective factors such as physical activity, self-esteem, and family and peer relationships. CANSIM is Statistics Canada's key socioeconomic database. The datasets included here provide statistics on the Canadian population, and the nation’s resources, economy, society, and culture. In addition to conducting a Census every five years, approximately 350 active surveys are conducted on virtually all aspects of Canadian life. Statistics are provided for the nation as a whole, provinces, and other subnational geographies where available. Category: Population and Income Source: Statistics Canada Established as Canada's central statistical office by the Statistics Act of 1985, Statistics Canada is required to "collect, compile, analyse, abstract and publish statistical information relating to the commercial, industrial, financial, social, economic and general activities and conditions of the people of Canada." Its main objectives are to provide statistical information and analysis about Canada’s economic and social structure and to promote sound statistical standards and practices. http://www.statcan.gc.ca/ Subject: Adolescent Pregnancy, Juvenile Delinquency, Health Behaviors, Risk Behaviors, Adolescents

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)0.003
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.893
Threshold uncertainty score0.375

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.025
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0070.039
Science and technology studies0.0040.001
Scholarly communication0.0050.002
Open science0.0060.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.1070.058

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 head0.032
GPT teacher head0.281
Teacher spread0.249 · 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.

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
Published2015
Admission routes1
Has abstractyes

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