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Portfolio of health advice for young people with disabilities transferring to adult care

2004· article· en· W2164567705 on OpenAlexaboutno aff
M. J. Tan, Valerie J. Klimach

Bibliographic record

VenueChild Care Health and Development · 2004
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsPortfolioQuarter (Canadian coin)PsychologyLearning disabilityYoung adultYoung personSocial careMedicineMedical educationFamily medicineDevelopmental psychologyNursingBusiness

Abstract

fetched live from OpenAlex

BACKGROUND: The transition from paediatric to adult services for young people with complex disabilities is fraught with anxieties for families. To facilitate the transition process a portfolio comprising reports from parents, paediatrician and therapists was collected and given to the young person and family on leaving school. AIM: To evaluate the young people and their parents' views of the usefulness of portfolios in providing comprehensive picture of their health needs. METHODS: A prospective study was performed. Eight families were interviewed and semi-quantitative feedback obtained using standardized questionnaires. RESULTS: Seven out of eight young people and their families were satisfied with the portfolios they received. All of them found the portfolios worthwhile and useful. A quarter of the families would like to have been consulted more about the content of the individual reports. CONCLUSIONS: Portfolios of health reports facilitate transfer of information when young people with disabilities move from paediatric to adult services. Ideally portfolios should be interagency, and include reports from education and social services.

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)0.003
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.030
GPT teacher head0.358
Teacher spread0.328 · 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 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

Citations11
Published2004
Admission routes1
Has abstractyes

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