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Record W3199320106 · doi:10.3389/fresc.2021.709977

Critically Examining the Person–Environment Relationship and Implications of Intersectionality for Participation in Children's Rehabilitation Services

2021· article· en· W3199320106 on OpenAlexafffund
Meaghan Reitzel, Lori Letts, Briano Di Rezze, Michelle Phoenix

Bibliographic record

VenueFrontiers in Rehabilitation Sciences · 2021
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsHolland Bloorview Kids Rehabilitation HospitalMcMaster University
FundersMcMaster University
KeywordsRehabilitationIntersectionalityInternational Classification of Functioning, Disability and HealthPerspective (graphical)Inclusion (mineral)Service delivery frameworkPsychologyService (business)Developmental psychologySocial psychologySociologyGender studiesBusiness

Abstract

fetched live from OpenAlex

Participation of children in rehabilitation services is associated with positive functional and developmental outcomes for children with disabilities. Participation in therapy is at risk when the personal and environmental contexts of a child create barriers to accessing services. The International Classification of Functioning, Disability and Health (ICF) provides a framework for conceptualizing the personal and environmental factors linked to a child. However, it does not facilitate critical examination of the person-environment relationship and its impact on participation in children's rehabilitation. This perspective study proposes the use of intersectionality theory as a critical framework in complement with the ICF to examine the impact of systemic inequities on the participation in therapy for children with disabilities. Clinicians are called to be critical allies working alongside children and families to advocate for inclusive participation in children's rehabilitation by identifying and transforming systemic inequities in service delivery.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.105
Threshold uncertainty score0.406

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.067
GPT teacher head0.390
Teacher spread0.322 · 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

Citations13
Published2021
Admission routes2
Has abstractyes

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