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Record W4387459951 · doi:10.3389/fspor.2023.1171290

Individuals experiencing disability and the ableist physical literacy narrative: critical considerations and recommendations for practice

2023· article· en· W4387459951 on OpenAlexaff
Kyle Pushkarenko, Elizabeth A. Howse, Nicholas Gosse

Bibliographic record

VenueFrontiers in Sports and Active Living · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicInclusion and Disability in Education and Sport
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsAbleismOperationalizationEmbodied cognitionDisability studiesNarrativeNormativeConceptualizationPsychologySociologyNarrative inquiryLiteracySocial psychologyEpistemologyGender studiesPedagogy

Abstract

fetched live from OpenAlex

Physical literacy (PL) has been readily accepted and integrated globally, including organizations affording services to individuals experiencing disability. Despite its uptake, recent research has illustrated that understandings of PL reflect the normative standards of those who do not experience disability, leading to practices that diminish the unique and embodied capability of others while simultaneously validating ableism. While a shift towards recognizing and valuing the heterogeneity associated with PL has recently occurred, the ableist narrative persists. As a result, the operationalization of PL directly contradicts its conceptualization, fostering a physical activity climate that continues to marginalize individuals experiencing disability. With this in mind, this paper critically unpacks PL, challenging the existing ableist narrative and offering suggestions to heighten the level of inclusivity that underscores PL. Pathways, where physical activity professionals contribute to reproducing ableism, will be discussed.

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)0.061
metaresearch head score (Gemma)0.093
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.061
Threshold uncertainty score0.323

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0610.093
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0060.005
Science and technology studies0.0180.030
Scholarly communication0.0260.039
Open science0.0100.017
Research integrity0.0160.027
Insufficient payload (model declined to judge)0.0090.002

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 head0.021
GPT teacher head0.399
Teacher spread0.378 · 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 designTheoretical or conceptual
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueFrontiers in Sports and Active LivingSame topicInclusion and Disability in Education and SportFrench-language works237,207