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Record W1986721097 · doi:10.1177/000841740807500510

Individualized Outcome Measures for Evaluating Life Skill Groups for Children with Disabilities

2008· article· en· W1986721097 on OpenAlexaffvenueabout
Briano Di Rezze, F. Virginia Wright, C. J. Curran, Colin Macarthur

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2008
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsGoal Attainment ScalingPsychologyLife satisfactionBaseline (sea)Occupational therapyOutcome (game theory)Physical therapyClinical psychologyGerontologyDevelopmental psychologyMedicineRehabilitationPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: The challenge of evaluating life skill groups is the need to assess skills reflecting the priorities and abilities of the individuals as well as the program focus. PURPOSE: This study describes the feasibility and utility of goal menus and individualized outcome measures in two life skill groups for children with disabilities. METHODS: Eleven children were evaluated at baseline and 5 weeks post-program using a modified Canadian Occupational Performance Measure (COPM) and modified Goal Attainment Scaling (mod-GAS). FINDINGS: COPM satisfaction median scores across all goals increased post-program by 3.0 points (P=0.001) and performance scores by 1.0 point (P=0.002). Mod-GAS scores for all participants were at least -1 (partial achievement), and 55% of participants achieved their functional goal (Mod-GAS = 0) with carryover into their community environments. IMPLICATIONS: This study supports the positive contribution of individualized measures to evaluate outcomes within life skill programs for children 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)0.003
metaresearch head score (Gemma)0.004
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 score0.013
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
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 integrity0.0000.000
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 head0.555
GPT teacher head0.555
Teacher spread0.001 · 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

Citations16
Published2008
Admission routes3
Has abstractyes

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