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Implementing a problem‐based learning curriculum in occupational therapy: A conceptual model

2000· article· en· W2013216281 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAustralian Occupational Therapy Journal · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicProblem and Project Based Learning
Canadian institutionsMcMaster University
Fundersnot available
KeywordsOccupational therapyCurriculumBachelorContext (archaeology)Conceptual modelSociocultural evolutionComputer scienceKnowledge managementManagement sciencePsychologyPedagogyMedicineEngineeringSociologyPhysical therapyPolitical science

Abstract

fetched live from OpenAlex

Problem‐based learning in occupational therapy education has enjoyed increasing attention in recent years. Drawing on concepts from general systems theory and organizational theory, this paper presents a conceptual model of an occupational therapy education program as an open and dynamic system that interacts with and is responsive to the external environment. The model is described in the generic context of developing, implementing and evaluating a problem‐based learning curriculum. The Bachelor of Health Sciences (Occupational Therapy) program at McMaster University in Canada is used to provide a practical illustration of the various components of the model. The model is considered to be sufficiently generic and adaptable for use by any occupational therapy program in any sociocultural environment in the world, and will be of particular interest to those who are considering problem‐based learning as an alternative to traditional educational approaches.

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.

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)0.003
metaresearch head score (Gemma)0.000
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 score0.782
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.000

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 head0.117
GPT teacher head0.398
Teacher spread0.281 · 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