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Can personal and environmental factors explain dimensions of child participation?

2010· article· en· W2169682106 on OpenAlexaff
Limor Rosenberg, Tal Jarus, Orit Bart, Navah Z. Ratzon

Bibliographic record

VenueChild Care Health and Development · 2010
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologyAffect (linguistics)PerceptionCompetence (human resources)Diversity (politics)Developmental psychologySocial psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: One of the main goals of paediatric occupational therapists and other health professionals is to enhance child participation in age-related activities within their communities. According to theoretical models, the act of participation has numerous dimensions, affected by personal and environmental factors. However, there have been relatively few studies undertaken to validate this theory. The purpose of this study was to explore the extent to which personal and environmental factors explain each of five distinct dimensions of child participation, which are: diversity, intensity, independence, enjoyment and subsequent parental satisfaction. METHOD: A convenient sample of 70 kindergarten children without developmental disabilities together with their parents participated in the study. Data were collected using standardized assessments for personal factors and questionnaires for environmental factors. RESULTS: The findings confirmed our hypothesis and revealed that with typical children, motor and cognitive abilities affect participation diversity. Moreover, performance skills and self-perceptions of competence affect their independence levels, while environmental factors contribute to frequency of participation and parental satisfaction. However, these factors on their own do not fully explain the degree of enjoyment experienced by children. CONCLUSIONS: The findings highlight the importance of measuring the full range of participation dimensions, and provide empirical evidence about the nature of child participation. Further studies are warranted to validate this approach for children with developmental difficulties.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.050
GPT teacher head0.403
Teacher spread0.354 · 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.

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

Citations33
Published2010
Admission routes1
Has abstractyes

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