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Record W4321004301 · doi:10.1111/cars.12424

Canadian climate change attitudes and energy policy

2023· article· en· W4321004301 on OpenAlexafffundabout
Lisa Y. Seiler, Glenn J. Stalker

Bibliographic record

VenueCanadian Review of Sociology/Revue canadienne de sociologie · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsYork University
FundersSocial Sciences and Humanities Research Council of CanadaMitacs
KeywordsOpposition (politics)Climate changeAscriptionPolitical scienceClimate policyAttributionHumanitiesSocial psychologyPsychologyPoliticsEcologyArtPhilosophyTheologyLaw

Abstract

fetched live from OpenAlex

This paper uses original Canadian survey data to compare support for and opposition to five energy-related climate policies. Results show that Canadians were very concerned about climate change and supportive of the policies. Variation in support and opposition was investigated using logistic regression. We tested models that associate climate policy support with a combination of one's ecological worldview, climate change attitudes, personal capabilities, contextual influences, and ascription of responsibility to take action on climate change, applying elements of Stern's (2000) theory of environmentally-significant behaviour and Patchen's (2010) model of climate change behaviour. We found that the more abstract policies attracted a different set of predictors than the more concrete policies. Females and parents showed increased support for the more abstract policies. Having an ecological worldview was a significant predictor of support for all policies but was obscured by other factors in a combined model. Cet article utilise des données d'enquête canadiennes originales pour comparer le soutien et l'opposition à cinq politiques climatiques liées à l'énergie. Les résultats montrent que les Canadiens étaient très préoccupés par le changement climatique et appuyaient les politiques. La variation du soutien et de l'opposition a été étudiée à l'aide de la régression logistique. Nous avons testé des modèles qui associent le soutien à la politique climatique à une combinaison de vision du monde écologique, d'attitudes face au changement climatique, de capacités personnelles, d'influences contextuelles et d'attribution de la responsabilité d'agir sur le changement climatique, en appliquant des éléments de la théorie de Stern (2000) sur le comportement significatif pour l'environnement et le modèle de comportement face au changement climatique de Patchen (2010). Nous avons constaté que les politiques plus abstraites attiraient un ensemble différent de prédicteurs que les politiques plus concrètes. Les femmes et les parents ont montré un soutien accru pour les politiques plus abstraites. Avoir une vision du monde écologique était un prédicteur significatif du soutien à toutes les politiques, mais était obscurci par d'autres facteurs dans un modèle combiné.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.542
Threshold uncertainty score0.926

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.406
GPT teacher head0.428
Teacher spread0.023 · 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

Citations11
Published2023
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Review of Sociology/Revue canadienne de sociologieSame topicClimate Change Communication and PerceptionFrench-language works237,207