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Record W3034085139

Trauma-Informed Pedagogy: Rethinking the Use of Graduated Instructional Prompts in Inclusive Physical Education

2020· article· en· W3034085139 on OpenAlexaff
Donna L. Goodwin, Lindsay Eales

Bibliographic record

VenuePALAESTRA · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicInclusion and Disability in Education and Sport
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychologyContext (archaeology)AutonomyPedagogyPsychological resilienceAutismDevelopmental psychologySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

Trauma in the lives of students with intellectual impairments, including children experiencing autism spectrum disorder, is significantly higher than their school-age peers. There remains a significant gap however, in how schools respond to student trauma as teachers receive little formal training or continuing education on its impact and implications for instruction. Trauma-informed pedagogy is a framework for instructional practice that is slowly gaining attention. By linking trauma-informed pedagogy with strength-based instructional approaches, a safe and relational teaching context is promoted—one that decreases teacher actions that may trigger or retraumatize students. With the aim of supporting student resilience, control over one’s body, and autonomy, recommendations on how to practice trauma-informed pedagogy are discussed, using the instructional strategy of graduated instructional prompts as a point of reflexion. Subscribe to Palaestra

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score0.302

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.115
GPT teacher head0.411
Teacher spread0.296 · 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 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

Citations15
Published2020
Admission routes1
Has abstractyes

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