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Record W4387219015 · doi:10.1111/geoj.12547

Youth and climate justice: Representations of young people in action for sustainable futures

2023· article· en· W4387219015 on OpenAlexafffundabout
Onyx Sloan Morgan, Fabiola Melchior, Kimberley Anh Thomas, Laura McNab‐Coombs

Bibliographic record

VenueGeographical Journal · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsUniversity of Northern British ColumbiaOkanagan University CollegeUniversity of British Columbia HospitalOkanagan CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsInjusticeClimate justiceEnvironmental ethicsEconomic JusticeTransformative learningSociologyPolitical scienceAction (physics)Climate changeLawEcology

Abstract

fetched live from OpenAlex

Abstract From fossil fuel corporations sponsoring climate change education to youth‐washing international gatherings, young people are bombarded, and simultaneously abandoned, by struggles for climate justice. The root issues fuelling interlocking environmental and social crises are often erased in initiatives involving youth. These crises are a direct result of broader, structural conditions that have become the de facto global order and propel notions of sustainable development. In settler colonial contexts such as Canada, colonialism, capitalism and inequitable forms of violence mutually depend upon one another to perpetuate climate injustice. Youth are increasingly aware of these entanglements, while seemingly discouraged from transformative action. With these tensions in mind, this commentary investigates the obstacles youth face despite making key contributions to justice‐focused climate action, and draws attention to the necessity of strengthening meaningful youth engagement. To explore this issue, we engage with climate and environmental justice literature, youth‐led initiatives, and youth representation on a global stage.

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)0.006
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0120.014
Scholarly communication0.0080.004
Open science0.0010.009
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.012
GPT teacher head0.300
Teacher spread0.288 · 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 designQualitative
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

Citations21
Published2023
Admission routes3
Has abstractyes

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