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Record W2128319112 · doi:10.3109/01942638.2013.823473

Mothers’ Experiences with the Pediatric Evaluation of Disability Inventory (PEDI)

2013· article· en· W2128319112 on OpenAlexafffund
Devra Rich, Patricia Rigby, F. Virginia Wright

Bibliographic record

VenuePhysical & Occupational Therapy In Pediatrics · 2013
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsHolland Bloorview Kids Rehabilitation Hospital
FundersCanadian Institutes of Health Research
KeywordsCerebral palsyPsychologyIntervention (counseling)Developmental psychologyTest (biology)Clinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

Parents of a child with a disability are often asked about their child's functioning in daily activities. One way to gather this information is through parent-report functional questionnaires such as the Pediatric Evaluation of Disability Inventory (PEDI). The purpose of this study was to explore parental experiences associated with completion of the PEDI before and after a functional therapy intervention. Semi-structured interviews were conducted with 12 mothers of children with cerebral palsy (CP) or developmental delay (DD) who had completed the PEDI within a larger study. A content analysis approach was used to code and organize the data into five themes. PEDI completion was associated with increased parental awareness of developmental patterns, and greater insight into levels of assistance they give to their child. Parents described various challenges and concerns with the PEDI that have implications for test administration processes. The findings have potential to enable more sensitive and focused PEDI use.

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)0.020
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 score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.002
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 head0.109
GPT teacher head0.413
Teacher spread0.304 · 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

Citations12
Published2013
Admission routes2
Has abstractyes

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