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Record W4414487279 · doi:10.1080/25742981.2025.2563003

A comparison between the theoretical underpinnings of responsibility in TPSR model, VO model and SJ approaches: a socioecological perspective

2025· article· en· W4414487279 on OpenAlexaff
Gaëlle Le Bot, Sylvie Beaudoın, Christophe Schnitzler, Seira Fortin-Suzuki

Bibliographic record

VenueCurriculum Studies in Health and Physical Education · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsPerspective (graphical)Identification (biology)Work (physics)Government (linguistics)

Abstract

fetched live from OpenAlex

Responsibility involves a commitment to making informed decisions and acting appropriately. This paper examines the theoretical underpinnings of responsibility by comparing key principles in the Teaching Personal and Social Responsibility model, the Value Orientation model and the Social Justice approaches. We discuss the distinctions, overlaps, and their pedagogical implications for health and physical education curricula through a socioecological perspective. The Teaching Personal and Social Responsibility model emphasises both personal growth (effort, self-direction) and social well-being (respect, caring for others) towards transfer. The Value Orientation model integrates these values with a focus on social change, fostering autonomy and solidarity. The Social Justice approaches highlights issues such as racial, ability, and gender discrimination. Our contribution seeks to clarify theoretical foundations between these models and approaches, and their links with the transformative potential of a Socially-Just TPSR approach in educating students to become active responsible citizens.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.143
GPT teacher head0.490
Teacher spread0.347 · 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.

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

Citations1
Published2025
Admission routes1
Has abstractyes

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