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Record W2922021790 · doi:10.1080/01942638.2019.1577785

It’s Not Just Me. Parents’ Perceptions of a Multi-Disciplinary Therapy Group for Infants with Disabilities

2019· article· en· W2922021790 on OpenAlexaff
Susan Bowman, C. M. Evans

Bibliographic record

VenuePhysical & Occupational Therapy In Pediatrics · 2019
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversity of TorontoErinoakKids Centre for Treatment and Development
Fundersnot available
KeywordsOccupational therapyPsychologyPerceptionDisciplineDevelopmental psychologyClinical psychologyMedicinePsychotherapistPsychiatrySociology

Abstract

fetched live from OpenAlex

Aim: To explore parent perceptions of Baby Club, a therapeutic program involving physiotherapy, occupational therapy, and speech and language therapy for infants with physical disabilities under 2 years and to better understand how the group addresses child and family needs. Methods: A qualitative descriptive design using semi-structured interviews and a brief demographics questionnaire. Eight parents who attended a Baby Club program between 2017 and 2018 were recruited from ErinoakKids Centre for Treatment and Development. Interviews were audio-recorded, transcribed, and de-identified. A content analysis approach was used with an inductive process to generate a coding scheme. Investigators developed overarching themes. Results: Three themes representing parents’ perceptions of Baby Club were identified: (1) Learning Together through Play and Fun; (2) I’m Not the Only One – Sharing and Support; (3) The Value of Therapist Time and Expertise. Conclusions: Baby Club provides parents and infants with opportunities to learn new skills through play, providing enriching social experiences and networking in a supportive therapeutic group environment.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.140
GPT teacher head0.440
Teacher spread0.299 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2019
Admission routes1
Has abstractyes

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