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Record W3033927112 · doi:10.1080/14927713.2020.1760122

“Vulnerable,” “At-risk,” “Disadvantaged”: How <i>A Framework</i> <i>for Recreation in Canada 2015: Pathways to Wellbeing</i> Reinscribes Exclusion

2020· article· en· W3033927112 on OpenAlexafffundvenueabout
Lisa N. Tink, Danielle Peers, Candace I. J. Nykiforuk, Bethan Kingsley

Bibliographic record

VenueLeisure/Loisir · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsSpinal Cord Injury AlbertaUniversity of Alberta
FundersInstitute of Health Services and Policy ResearchSocial Sciences and Humanities Research Council of CanadaMitacsWomen and Children's Health Research Institute
KeywordsRecreationInclusion (mineral)DisadvantagedComplicityInclusion–exclusion principleSocial exclusionSociologyPublic relationsGender studiesPolitical scienceLaw

Abstract

fetched live from OpenAlex

The purpose of this paper is to analyze how the problem of exclusion and the solution of inclusion have been discursively produced within A Framework for Recreation in Canada 2015: Pathways to Wellbeing.Centred around three main arguments, our analysis demonstrates the ways in which the Framework strategically combines notions of Otherness with discourses of risk and inclusion in order to target social groups that are perceived to be lacking the personal, cultural, or material resources to participate in the specified amount of physical activity required for health (and thus national economic) benefits. By interrogating the ways the Framework has enacted a particular Canadian ‘brand(ing)’ of inclusion, our analysis challenges recreation professionals (including academics) to think outside the inclusion/exclusion binary and consider their complicity in the creation, and maintenance, of exclusionary practices.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.287
Teacher spread0.253 · 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
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

Citations15
Published2020
Admission routes4
Has abstractyes

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