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Record W4410811550 · doi:10.1080/14927713.2025.2503180

Developing and describing a disability language philosophy in a community recreation context: a critical disability studies perspective

2025· article· en· W4410811550 on OpenAlexvenueaboutno aff
Jordan O’Dell

Bibliographic record

VenueLeisure/Loisir · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicInclusion and Disability in Education and Sport
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)RecreationContext (archaeology)Disability studiesSociologyEpistemologyLinguisticsPsychologyComputer scienceGeographyPolitical scienceGender studiesPhilosophyArtificial intelligence

Abstract

fetched live from OpenAlex

The purpose of this paper was to (1) outline the historical, socio-cultural and political factors influencing disability language philosophies in an English-speaking Canadian context and (2) develop a practical tool in the form of an infographic for describing a critical disability studies-informed philosophy in a community recreation context. This conceptual paper begins by outlining the critical disability studies theoretical framework. Next, a discussion on the evolution of disability language philosophies throughout history is provided, outlining the differences between person-first and identity-first approaches. A specific disability language philosophy that can be used in a community recreation context is described, including five guidelines for disability language use: (1) no defaults, (2) always ask, (3) be intentional, (4) be accountable and (5) be respectful. These guidelines are contextualized with a discussion on intersectional considerations. Last, limitations of the manuscript are addressed along with implications for practitioners and researchers.

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)0.003
metaresearch head score (Gemma)0.008
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: Empirical
Teacher disagreement score0.537
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
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 head0.113
GPT teacher head0.442
Teacher spread0.329 · 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 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

Citations1
Published2025
Admission routes2
Has abstractyes

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