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Record W4408808800 · doi:10.1111/cch.70065

Implementation of the My Abilities First Tool to Empower Children and Adolescents With Disabilities: A Study Protocol

2025· article· en· W4408808800 on OpenAlexaff
Roselene Ferreira de Alencar, Egmar Longo, Verónica Schiariti, Caline C. A. F. Jesus, Monique L. G. Coelho, López Carrión, Gentil Gomes da Fonseca Filho, Isabelly Cristina Rodrigues Regalado, Karolinne Souza Monteiro, Ana Raquel Rodrigues Lindquist

Bibliographic record

VenueChild Care Health and Development · 2025
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of Victoria
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsThematic analysisParticipatory action researchProtocol (science)Focus groupRehabilitationCitizen journalismPsychologyMedical educationQualitative researchOccupational therapyPresentation (obstetrics)Applied psychologyNursingMedicinePsychiatryAlternative medicineSociologyComputer science

Abstract

fetched live from OpenAlex

OBJECTIVE: To present a participatory study protocol for implementing the My Abilities First (MAF) tool in Specialized Centers for Child Rehabilitation. METHOD: This is a qualitative study that will intentionally select physiotherapists, occupational therapists, children and adolescents with disabilities, aged 6-14 years, and their caregivers, in Specialized Centers for Child Rehabilitation located in the northeastern region of Brazil. The participants will answer a socio-demographic and clinical questionnaire and take part in semistructured interviews, workshops and focus groups to understand and discuss the implementation process of the MAF tool. The study will be based on Participatory Action Research (PAR) and Patient and Public Involvement (PPI). The data will be recorded and fully transcribed for Reflexive Thematic Analysis. DISCUSSION AND PERSPECTIVES: The presentation of a study protocol to implement the MAF tool has the potential to enhance changes in attitudes towards disability and individuals with disabilities. The conceptual foundation of the MAF tool, centred on positive language and attitudes, coupled with the need to identify barriers and facilitators for the implementation process, proves conducive to new insights and inclusive opportunities for children and adolescents with disabilities.

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)0.000
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 score0.079
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.034
GPT teacher head0.470
Teacher spread0.436 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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