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Record W4409464499 · doi:10.1080/02614367.2025.2490547

Football on the frontlines: the unjust burden of the climate crisis on Pacific Island nations

2025· article· en· W4409464499 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.

Bibliographic record

VenueLeisure Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFootballPolitical scienceClimate changeDevelopment economicsGeographyOceanographyEconomicsGeology

Abstract

fetched live from OpenAlex

Oceania is a region which contributes little to anthropogenic causes of climate change yet bears many of its most immediate burdens. This can be demonstrated through football in the region as several member associations of the Oceania Football Confederation (OFC) are threatened by rising sea levels, floods, heat and other climate harms while lacking the organisational capacity to adapt to climate change. Using a climate justice lens to understand this disparity, this study provides a climate impact assessment to the OFC and its member associations. Focus groups and interviews with key stakeholders were used to assess organisational climate capacity with a goal of addressing the climate changed future of football in this region. Findings suggest all member associations are at risk of high heat and coastal flooding while others may face heavy rains and wildfires. Member associations are highly aware of their climate risks but lack many of the organisational resources necessary to adapt. This inherently demonstrates the injustice faced by this region as it is an immediate victim of 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)0.001
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: none
Teacher disagreement score0.668
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.114
GPT teacher head0.361
Teacher spread0.247 · 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