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Record W2018362346 · doi:10.3109/07380577.2013.785642

Cross-Border Contributions to Obesity Research and Interventions: A Review of Canadian and American Occupational Therapy Contributions

2013· review· en· W2018362346 on OpenAlexaffabout
Mary Forhan, Simone V. Gill

Bibliographic record

VenueOccupational Therapy In Health Care · 2013
Typereview
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsOccupational therapyPsychological interventionObesityOccupational sciencePsychologyGerontologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

This paper identifies the contributions of Canadian and American occupational therapists to the empirical discourse on obesity. This scoping study includes an independent review of the published literature followed by a series of meetings during which key themes and contributions were categorized. The Person, Environment, Occupation, and Performance Model (Baum & Christiansen, 2005) was used to organize the themes reported in the literature. Although occupational therapists contribute to knowledge about body systems and functions as well as activity limitations and participation restrictions for persons with obesity, the majority of work has a focus on the environment and the person, with limited attention to occupation. Occupational therapy practitioners and researchers are contributing in areas valued in obesity research and practice but can do more to promote consideration of the interaction of personal, environmental, and occupational factors which may cause obesity or contribute to the participation in everyday living for persons with obesity.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.885
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0030.004
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.369
GPT teacher head0.683
Teacher spread0.314 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations8
Published2013
Admission routes2
Has abstractyes

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