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Interprofessional Education in U.S. and Canadian Dental Schools: An ADEA Team Study Group Report

2012· article· en· W2144496301 on OpenAlexaboutno aff
Allan J. Formicola, Sandra C. Andrieu, Judith A. Buchanan, Gail Schneider Childs, Micaela Gibbs, Marita R. Inglehart, Elsbeth Kalenderian, Marsha A. Pyle, Kim C. D’Abreu, Lauren Evans

Bibliographic record

VenueJournal of Dental Education · 2012
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsnot available
FundersEast Carolina UniversityWestern University of Health SciencesSchool of Dentistry, University of MichiganUniversity of South CarolinaUniversity of MinnesotaCollege of Dental Medicine, Columbia UniversityEmory University
KeywordsInterprofessional educationDental educationCompetence (human resources)Medical educationFamily medicineMedicinePsychologyPolitical scienceHealth care

Abstract

fetched live from OpenAlex

The state of interprofessional education (IPE) in U.S. and Canadian dental schools was studied by the American Dental Education Association (ADEA) Team Study Group on Interprofessional Education. The study group reviewed the pertinent IPE literature, examined IPE competencies for dental students, surveyed U.S. and Canadian dental schools to determine the current and planned status of IPE activities, and identified best practices. Members of the study group prepared case studies of the exemplary IPE programs of six dental schools, based on information provided by those schools; representatives from each school then reviewed and approved its case study. Six reviewers critiqued a draft of the study group's report, and study group members and reviewers met together to prepare recommendations for schools. This report identifies four domains of competence for student achievement in IPE and summarizes responses to the survey (which had an 86 percent response rate). It also includes the case descriptions of six schools' IPE programs and the study group's recommendations for dental schools. The report concludes that there is general recognition of the goals of IPE across U.S. and Canadian dental schools, but a wide range of progress in IPE on the various campuses. Challenges to the further development of IPE are discussed.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.318
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.450
Teacher spread0.431 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations71
Published2012
Admission routes1
Has abstractyes

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