MétaCan
Menu
Back to cohort

Meeting the educational needs of fieldwork supervisors: A collaborative workshop developed by New South Wales occupational therapy fieldwork coordinators

2001· article· en· W2097646677 on OpenAlexaff
Lynette Mackenzie, Lee Zakrzewski, Claudia Walker, Annie McCluskey

Bibliographic record

VenueAustralian Occupational Therapy Journal · 2001
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsSte. Anne's Hospital
Fundersnot available
KeywordsOccupational therapyPresentation (obstetrics)Medical educationVariety (cybernetics)MedicinePsychologyPhysical therapyComputer science

Abstract

fetched live from OpenAlex

This paper describes the collaborative preparation and implementation of a workshop for occupational therapy fieldwork supervisors which has been developed by the four occupational therapy programmes in New South Wales. The workshop was primarily designed to meet the education needs of new and inexperienced fieldwork supervisors who could subsequently be prepared to supervise students from any of the four occupational therapy programmes in the state. The workshop was also offered to more experienced fieldwork supervisors who were interested in adapting their fieldwork programmes to incorporate the needs of students from the four occupational therapy programmes. The process of constructing the workshop is outlined. Results from pre‐workshop questionnaires (n = 237) and post‐workshop evaluations (n = 257), during the first year of presentation of the workshop, suggested that the workshop was effective in meeting the objectives of preparing fieldwork supervisors to supervise students from a variety of educational programmes. In addition, the collaboration between the occupational therapy programmes during the workshops has enabled other state‐wide fieldwork issues to be identified, and further projects have been undertaken to address fieldwork concerns.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.187
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0140.000

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 head0.235
GPT teacher head0.485
Teacher spread0.250 · 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

Citations18
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueAustralian Occupational Therapy JournalSame topicOccupational Therapy Practice and ResearchFrench-language works237,207