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Record W2048151044 · doi:10.1080/17518420801956649

Developing and maintaining of user-defined personal competencies among young adults with congenital physical disability

2008· article· en· W2048151044 on OpenAlexaboutno aff
Ann-Lisbeth Højberg, Birgit F. Steffensen

Bibliographic record

VenueDevelopmental Neurorehabilitation · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicInclusion and Disability in Education and Sport
Canadian institutionsnot available
Fundersnot available
KeywordsIntervention (counseling)PsychologyOccupational therapyActivities of daily livingYoung adultPhysical therapyMedicineGerontologyDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

Outcomes from a developmental instructional training course for youths with congenital physical disability have been investigated for the purpose of clarifying whether or not the participants' personal competencies in terms of living an independent life were developed and whether or not these competencies were maintained after termination of the project. In the course of the intervention, there was focus on user involvement and each participant defined his own occupational performance problems, articulated specific goals for the intervention and evaluated the results by means of the Canadian Occupational Performance Measure (COPM). Eight young adults participated in the course from 16-26 months with a follow-up evaluation 10-20 months later. Changes in COPM scores on performance and satisfaction indicate that the participants developed personal competencies and that it was possible to maintain some of these competencies after completion of the course.

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)0.001
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.021
GPT teacher head0.279
Teacher spread0.258 · 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

Citations6
Published2008
Admission routes1
Has abstractyes

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