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Record W4399209227 · doi:10.18584/iipj.2024.15.1.14484

Sport for Reconciliation?

2024· article· en· W4399209227 on OpenAlexaffvenueabout
Shawn Forde, Audrey R. Giles, Rochelle Stewart‐Withers, Steven Rynne, Jeremy Hapeta, Lyndsay Hayhurst, Daniel Henhawk

Bibliographic record

VenueInternational Indigenous Policy Journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCambodian History and Society
Canadian institutionsUniversité de MontréalUniversité du Québec à MontréalUniversité LavalUniversity of OttawaUniversity of British Columbia
Fundersnot available
KeywordsIndigenousSociologyPolitical scienceHistoryEcologyBiology

Abstract

fetched live from OpenAlex

In settler-colonial contexts, the use of sport for reconciliation (SFR) has received increasing attention from national governments and their sporting agencies, though researchers have yet to track the development of SFR across settler colonial contexts. In this study, we examined how government sport policies in Australia, Canada, and Aotearoa/New Zealand frame understandings of reconciliation. Through the application of both policy and frame analysis to 82 documents from 1970s to 2020, we argue that policy framings have shifted from presenting Indigenous peoples as a homogenous disadvantaged group to more inclusive considerations of Indigenous cultures. Nevertheless, an assimilative agenda continues to guide policy, as understandings of Indigenous self-determination are absent from sport policy documents and reconciliation is primarily understood as Indigenous peoples being reconciled to the status quo. Key words: Sport, policy, reconciliation, settler-colonial states.

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)0.004
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.044
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.014
Scholarly communication0.0050.005
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.030
GPT teacher head0.399
Teacher spread0.369 · 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

Citations9
Published2024
Admission routes3
Has abstractyes

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Same venueInternational Indigenous Policy JournalSame topicCambodian History and SocietyFrench-language works237,207