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Record W2083667013 · doi:10.1177/000841740006700305

Development of the Handicap Assessment and Resource Tool (HART)

2000· article· en· W2083667013 on OpenAlexaffvenue
Andrea Vertesi, Pēteris Dārziņš, Shari Lowe, Esther McEvoy, Mary Edwards

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2000
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsHamilton Health Sciences
Fundersnot available
KeywordsResidencePersonal careResource (disambiguation)PsychologyDisabled peopleNursingMedicineGerontologyMedical educationApplied psychologyFamily medicineComputer scienceSociology

Abstract

fetched live from OpenAlex

An important determinant of whether people can live in community settings is the absence of significant handicap. People with considerable disabilities can live without handicap if they have adequate supports. Handicap, rather than disability, limits peoples' residence options. Disability assessment tools are commonly used to guide where people can live--these assess neither the resources available nor the personal-care handicap present. The Handicap Assessment and Resource Tool (HART) was designed to provide information about the personal-care issues (clothing, hygiene, nutrition, mobility, safety, residence and supports) relevant to choice of residence. The HART was tested by occupational therapists who are frequently expected to provide recommendations regarding disabled clients' residence options. It is a client-centred tool that addresses key occupational performance components of personal care. Pilot testing in hospital and community settings shows the HART is a comprehensive and practical tool that is acceptable to users and clients.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.461
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.264
GPT teacher head0.509
Teacher spread0.244 · 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

Citations19
Published2000
Admission routes2
Has abstractyes

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