MétaCan
Menu
Back to cohort
Record W4410188744 · doi:10.1080/21550085.2025.2496835

Just Transition and Social Acceptability: A Canadian Case

2025· article· en· W4410188744 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEthics Policy & Environment · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsUniversité de MontréalUniversité Laval
FundersSocial Sciences and Humanities Research Council of CanadaFonds de recherche du Québec
KeywordsTransition (genetics)Political scienceBiology

Abstract

fetched live from OpenAlex

This paper takes place at the intersection of climate policy, public opinion and the ‘just transition’ debate. Its central hypothesis is: the inclusion of fairness measures in the green economy transition – especially by targeting workers in the most affected sectors – will have a positive impact on the social acceptability of climate policy. This paper focuses on two key policies: carbon pricing and a fossil fuel phase-out. A set of survey questions compare social support for these two policies (i) without and (ii) with accompanying fairness provisions, such as green jobs creation and support for workers. This paper uses an exclusive survey (n = 1,500) conducted in Canada in 2022. From the data, we observed that fairness provisions increase the support both for a higher price on carbon and for a decrease in the production of oil and gas, which was especially salient for groups initially less concerned by climate change.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.639
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.058
GPT teacher head0.389
Teacher spread0.331 · 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