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Record W2079969159 · doi:10.1080/01642120802647691

An Aggregate Fieldwork Model: Cooperative Learning, Research, and Clinical Project Publication Components

2009· article· en· W2079969159 on OpenAlexaff
Pat Precin

Bibliographic record

VenueOccupational Therapy in Mental Health · 2009
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsNew York Institute of Technology
Fundersnot available
KeywordsOccupational therapyMultidisciplinary approachPsychosocialSupervisorPsychologyPublicationMedical educationIntervention (counseling)Outcome (game theory)Collaborative modelMedicinePsychotherapistSociologyPsychiatryBusinessPolitical scienceSocial science

Abstract

fetched live from OpenAlex

An occupational therapy psychosocial level-two fieldwork model, which consists of cooperative learning, clinical project or research publication, and interdisciplinary collaboration and intervention, is herein outlined. An example of the model is presented using an acute inpatient psychiatric setting with a multidisciplinary staff and 50 occupational therapy interns. Data on the aggregate fieldwork model collected over a two-and-a-half-year period from: 1) logs; 2) supervision; 3) peer reviewed publications; 4) conference presentations; 5) verbal feedback from the occupational therapy educational institutes; and 6) the supervisor's comparisons with other fieldwork models is presented. The outcome of the aggregate fieldwork model is that students do well, seem to learn more than in 1:1 supervisory models, and manage to publish while on fieldwork. It is hoped that more academic programs will consider working with clinical educators to develop programs based on this model.

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)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
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 integrity0.0000.002
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 head0.454
GPT teacher head0.639
Teacher spread0.184 · 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

Citations6
Published2009
Admission routes1
Has abstractyes

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