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Record W7114894539 · doi:10.26203/7zj5-s642

Teaching sustainability and climate change in Canada and Norway

2025· article· gd· W7114894539 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languagegd
FieldSocial Sciences
TopicSustainability in Higher Education
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityClimate changeGovernment (linguistics)Sustainable development

Abstract

fetched live from OpenAlex

This article examines how sustainability and climate change are positioned and enacted in lower secondary classrooms in Newfoundland and Labrador (Canada) and Finnmark (Norway). Guided by each jurisdiction’s curriculum, we ask how teachers understand the curricular place of these topics and how they describe teaching them in practice. The study employs a qualitative design, consisting of one focus group with Canadian teachers and three individual interviews with Norwegian teachers. Findings indicate that both systems signal sustainability as an interdisciplinary priority; however, classroom uptake is concentrated in science/natural science, with other subjects participating through teacher initiative. Teachers relied on low-overhead, place-responsive routines—such as gardening and hydroponics cycles, short outdoor inquiries, large-format mapping, and local energy or food system tasks—that fit existing timetables and made participation visible. Spread was constrained by timetable rigidity and thin cross-subject assessment structures. We contribute practical implications for timetable design, shared assessment artefacts, and partnership infrastructures that distribute responsibility beyond single teachers or subjects.

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.136
GPT teacher head0.565
Teacher spread0.429 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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