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Record W2151041484 · doi:10.3109/01942638.2014.978933

A Case Review: Reframing School-Based Practices Using a Critical Perspective

2014· article· en· W2151041484 on OpenAlexafffund
Shanon Phelan, Stella Ng

Bibliographic record

VenuePhysical & Occupational Therapy In Pediatrics · 2014
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsWomen's College HospitalUniversity of TorontoUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsCognitive reframingPerspective (graphical)Context (archaeology)Framing (construction)SociologyPedagogyEngineering ethicsPsychologyPublic relationsPolitical scienceSocial psychologyComputer science

Abstract

fetched live from OpenAlex

It is well established in the literature that school-based practice is fraught with challenges such as acquisition of appropriate and sufficient resources, communication barriers among professionals, parental burden, and redundancies and gaps in services. The purpose of this perspective paper is to reframe potentially problematic school-based practices using a critical social science perspective, suggesting a vision and strategies for therapists working in the context of school-based practice. We illustrate our approach with a case example. To reframe school-based practices, we begin with Jill's case, exploring it through a critical lens to identify potential issues and opportunities for change. We then trace these findings to our larger dataset from an ongoing program of research to ensure relevance to the broader context of school-based practice. Reframing of three school-based practice issues is discussed from: (a) advocacy by proxy to collaborative dialogue, (b) governing texts to guiding texts, and (c) playing the "right" part to having a voice. Although this is a perspective paper based on a case exemplar, we posit how we may reframe and rethink school-based practices in pediatric rehabilitation. We suggest that only with a genuine shift in our professional values will we see the enactment of collaborative practice in school-based settings.

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.255
Threshold uncertainty score0.920

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.177
GPT teacher head0.520
Teacher spread0.343 · 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 designObservational
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

Citations17
Published2014
Admission routes2
Has abstractyes

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