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Record W4248259944 · doi:10.1300/j003v13n03_01

Occupational Therapy in the Community: What, Why, and How

2001· article· en· W4248259944 on OpenAlexaboutno aff
Peggy Wittman, Beth P. Velde

Bibliographic record

VenueOccupational Therapy In Health Care · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational therapyTerminologyService (business)ReferralMedicinePsychologyPhysical therapyNursingBusinessMarketing

Abstract

fetched live from OpenAlex

AbstractObjective. This study examined the physical, emotional, social, and economic functions of service dogs, the training methods for service dog/owner teams, and problems encountered with service dogs in relationship to occupational therapy literature and domain of concern.Method. A 31-question survey was developed based on the literature and Uniform Terminology (AOTA, 1994) and was completed by 202 service dog owners from 40 states and Canada.Results. Owners reported that service dogs assisted them in 28 functional tasks, helped them to feel safe, increased their social interaction, and reduced physical assistance by others. Problems with service dogs included difficulty with dog maintenance and public awareness of their role as a worker or assistant to the owner. Over 80% of respondents desired additional training in alternative ways to perform daily living tasks.Conclusion. The use of service dogs is consistent with the occupational therapy domain of concern and practice. Occupational therapists might collaborate with service dog trainers and potential owners in referral, assessment, training, and follow-up services.KEYWORDS: Rehabilitationphysical disabilityassistive technology

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
Threshold uncertainty score0.497

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.099
GPT teacher head0.433
Teacher spread0.334 · 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.

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

Citations1
Published2001
Admission routes1
Has abstractyes

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