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Record W4414540328 · doi:10.1080/25742981.2025.2561842

Reimagining teaching personal and social responsibility (TPSR) within health and physical education curriculum: exploring the transformative potential of the socially-just TPSR approach

2025· article· en· W4414540328 on OpenAlexaboutno aff
Dylan Scanlon, Kellie Baker, Maura Coulter

Bibliographic record

VenueCurriculum Studies in Health and Physical Education · 2025
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsTransformative learningPhysical educationSocial responsibilityMoral responsibilityPerspective (graphical)Physical activitySocial change

Abstract

fetched live from OpenAlex

This Special Issue re-imagines Hellison's Teaching Personal and Social Responsibility (TPSR) as a viable pedagogy for social justice. We bring together international scholars to explore the opportunities, challenges and transformative potential of TPSR and the Socially-Just TPSR (SJ-TPSR) approach within health and physical education/teacher education. The papers provide historical context for TPSR's connection to social justice, offer empirical insights from diverse international contexts (Spain, Canada, Greece) and provide an autoethnographic account of a teacher's journey toward critical pedagogy (Indonesia). Conceptual papers, comparing TPSR to other models and reinterpreting it through a Freirean lens, are presented. The Special Issue also includes an international collaborative self-study (Australia, Canada and Ireland), which constructed guiding principles for the SJ-TPSR approach. Together, these contributions advocate for a dynamic, equity-oriented framework, offering the SJ-TPSR approach as a clear, actionable model for educators and researchers seeking to explicitly integrate social justice into their teaching and research.

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)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.125
GPT teacher head0.505
Teacher spread0.380 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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