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Record W2113819436 · doi:10.12968/ijtr.2006.13.2.21354

An interprofessional role-emerging placement in HIV rehabilitation

2006· article· en· W2113819436 on OpenAlexaff
Patricia Solomon, Bonny Jung

Bibliographic record

VenueInternational Journal of Therapy and Rehabilitation · 2006
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsMcMaster University
Fundersnot available
KeywordsInterprofessional educationHuman immunodeficiency virus (HIV)RehabilitationPsychological interventionOccupational therapyMedicineVariety (cybernetics)Health careAntiretroviral therapyNursingPsychologyMedical educationPhysical therapyFamily medicineViral loadComputer science

Abstract

fetched live from OpenAlex

People with human immunodeficiency virus (HIV) are living for longer with a variety of impairments and disabilities that are amenable to rehabilitation interventions. This article presents an interprofessional model of clinical education in which an occupational therapy student and a physiotherapy student worked together to develop an emerging role for their professions in the management of HIV in a community health centre. Students developed a consultation model that focused on self-management of HIV-related disability. Students were able to provide mutual support to each other as they designed a joint assessment process and educational materials for people living with HIV. This model of clinical education successfully integrated three innovative educational elements: a role-emerging placement, interprofessional education and HIV care. Careful planning and selection of students for this type of placement is essential for its success.

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)0.004
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 score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0060.002
Scholarly communication0.0030.003
Open science0.0010.008
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0070.002

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 head0.011
GPT teacher head0.410
Teacher spread0.399 · 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

Citations12
Published2006
Admission routes1
Has abstractyes

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