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Settler Colonialism, Sport, and Recreation

2024· book· en· W4402912524 on OpenAlexaboutno aff
Jason Laurendeau

Bibliographic record

VenueCommon Ground Research Networks eBooks · 2024
Typebook
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsRecreationColonialismHistoryGeographyPolitical scienceArchaeologyLaw

Abstract

fetched live from OpenAlex

Laurendeau interrogates the interconnections between settler colonialism and sport, recreation and physical activity, theorizing sport as both a site of ongoing colonial violence and a vital space of resistance, refusal, and reterritorialization. Laurendeau explains that settler colonialism is not a relic of a past moment but an ongoing genocidal project in still settling states as they perpetually work to claim ownership of and authority over stolen lands as part of a project of capital accumulation. Moreover, Laurendeau highlights, settler colonialism is a project that is fundamentally relational, structuring the lives not only of Indigenous peoples but of all who live in occupied territories. Sport and recreation, Laurendeau explains, constitute a key cultural space that produces and/or challenges ideas about bodies, relationships, belonging, nationhood, sovereignty, and more. Drawing primarily but not exclusively on examples unfolding on lands claimed by Canada, Laurendeau describes how sports like lacrosse and hockey, mega-events such as the North American Indigenous Games, and institutions and practices like sport in residential schools illustrate both the violences of settler colonialism and the refusals of those violences. Laurendeau takes an explicitly politicized approach to this work, highlighting the need to dismantle a social world that values profit over people and some people over others, a world that renders lives (of many people, most non-human animals, and the planet itself) expendable in the pursuit of perpetual economic growth.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.290
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.109
GPT teacher head0.411
Teacher spread0.303 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2024
Admission routes1
Has abstractyes

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