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Record W4246758496 · doi:10.24095/hpcdp.35.10.03

Chronic Disease and Injury Indicator Framework: Quick Stats, 2015 Edition

2015· article· en· W4246758496 on OpenAlexaffvenue
Public Health Agency of Canada Centre for Chronic Disease Prevention

Bibliographic record

VenueHealth Promotion and Chronic Disease Prevention in Canada · 2015
Typearticle
Languageen
FieldMedicine
TopicHealthcare Systems and Public Health
Canadian institutionsPublic Health Agency of Canada
Fundersnot available
KeywordsMedicineDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Education % of population with less than a high school education, population aged 20+ years 12.8% CCHS (2014) Income % of population living below low-income cut-offs, after tax, total population 9.7% CIS (2013) Employment Average annual unemployment rate (% of labour force that was unemployed during reference period), population aged 15+ years 6.8% LFS (2015) EARLY LIFE/CHILDHOOD RISK AND PROTECTIVE FACTORS Breastfeeding % of women who reported exclusive breastfeeding of their child for at least the first 6 months of life, women aged 15+ years 26.2% CCHS (2012) Birth weight % of live births with a low birth weight 6.1% CVS (2011) Exposure to second-hand smoke % of households with children aged less than 12 years regularly exposed to environmental tobacco smoke at home 3.1% CTADS 2013 Family violence % of population that experienced any of three types of child abuse [physical abuse, sexual abuse or exposure to intimate partner violence] before the age of 16 (NEW) 32.3% CCHS-MH (2012) BEHAVIOURAL RISK AND PROTECTIVE FACTORS Physical activity % of children and youth who met physical activity guidelines by accumulating at least 60 minutes of moderate-to-vigorous physical activity per day, population aged 5-17 years (NEW) 9.3% CHMS (2012-2013) % of adults who met physical activity guidelines by accumulating at least 150 minutes of moderate-tovigorous physical activity each week, in bouts of 10 minutes or more, population aged 18+ years (NEW) 22.2% CHMS (2012-2013) Sedentary behaviour % children and youth who reported exceeding sedentary behaviour guidelines by spending more than 2 hours per day watching television or using computers during leisure-time, population aged 5-17 years 72.7% CHMS (2012-2013) Average amount of time per day spent sedentary, excluding sleep time, population aged 5-17 years (NEW) 8.5 hours CHMS (2012-2013) Average amount of time per day spent sedentary, excluding sleep time, population aged 18+ years (NEW) 9.8 hours CHMS (2012-2013) Healthy eating % of population that reported consuming fruit and vegetables at least 5 times/day, population aged 12+ years 39.7% CCHS (2014) Unhealthy eating % of children and youth who reported drinking sugar-sweetened beverages daily, population aged 5-17 years 17.2% CHMS (2012-2013) Adequate sleep % of children and youth who reported obtaining adequate daily sleep (10-13 hours for those aged 5 years, 9-11 hours for ages 6-13 years and 8-10 hours for ages 14-17 years), population aged 5-17 years (NEW) 74.6% CHMS (2012-2013) Chronic stress and coping % of population that reported a high level of coping, population aged 18+ years (NEW) 56.9% CCHS-MH (2012)% of population that reported life to be "quite a bit" or "extremely" stressful most days in the last 12 months, population aged 12+ years

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)0.013
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.226
Threshold uncertainty score0.454

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0070.017
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0180.008

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 head0.041
GPT teacher head0.377
Teacher spread0.336 · 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

Citations4
Published2015
Admission routes2
Has abstractyes

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