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Record W2094266408 · doi:10.1080/0960312042000218633

Knowledge, attitudes and behaviours related to climate change in Alberta, Canada: implications for public health policy and practice

2004· article· en· W2094266408 on OpenAlexafffundabout
Ronald C. Plotnikoff, Mary-Frances Wright, Nandini Karunamuni

Bibliographic record

VenueInternational Journal of Environmental Health Research · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsInstitute of Population and Public HealthHealth CanadaUniversity of Alberta
FundersHealth CanadaGovernment of Canada
KeywordsClimate changePublic healthInterviewCensusPopulationPublic opinionEnvironmental healthGeographyKyoto ProtocolPopulation healthSample (material)Political scienceSocioeconomicsMedicineSociology

Abstract

fetched live from OpenAlex

Climate change has received recent extensive media attention (e.g., Kyoto Protocol) and is currently on the international public health agenda. The purpose of this study was to survey knowledge, attitudes and behaviours related to climate change in the province of Alberta, Canada. A random sample of 600 Alberta households, using proportional quotas based on the Canada Census of the Alberta population, was surveyed on knowledge, attitudes and behaviours related to climate change using a computer-assisted telephone interviewing protocol. Albertans are highly concerned, particularly about health problems related to the environment and air pollution; yet are only moderately informed about a variety of environmental issues. While the great majority of Albertans appear to be engaged in environmental behaviours at home, fewer consider energy efficiency when purchasing consumer goods. An even smaller percentage makes environmentally conscious transportation decisions. To encourage the population to make recommended environmental behaviours, mass media approaches may do well to target the specific beliefs that were deemed salient (e.g., promote the association between environment issues and health). The public health sector has a major role in working with inter-sectoral groups to address this significant public health issue.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.393
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 head0.115
GPT teacher head0.496
Teacher spread0.382 · 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

Citations33
Published2004
Admission routes3
Has abstractyes

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