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Record W2762215873 · doi:10.1177/0308022617733389

Development of the International Expert Advisory Panel on Community Health and Transport (I-CHaT) to coordinate research on transport mobility

2017· article· en· W2762215873 on OpenAlexaff
Paul Vaucher, Moon Ki Choi, Isabelle Gélinas, Priscilla Harries, Isabel Margot‐Cattin, Barbara Mazer, Lana van Niekerk, Ann‐Helen Patomella, Tadhg Stapleton, Lizette Swanepoel, Carolyn Unsworth, Brenda Vrkljan

Bibliographic record

VenueBritish Journal of Occupational Therapy · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsMcMaster UniversityMcGill University
Fundersnot available
KeywordsAdvisory committeeBusinessMedical educationMedicinePsychologyPolitical sciencePublic administration

Abstract

fetched live from OpenAlex

Editorial: British Journal of Occupational Therapy 2018, Vol. 81(5) 245–246 During the past 10 years, there has been a major shift in our understanding of the nexus between transportation and health. Health concerns evolved from road safety alone to encompass a broader view of the important relationships between transportation mobility and engagement in out-of-home activities. Occupational therapists have a leading role in this area, reflecting the American Occupational Therapy Association (2014) Occupational Therapy Practice Framework that includes driving and community mobility as an important Instrumental Activity of Daily Living.

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)0.006
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 score0.177
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.339
GPT teacher head0.474
Teacher spread0.135 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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