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Record W3111015511 · doi:10.32920/cd.v4i2.1110

Research Involvement Continuum Level of Dietetic Internship Directors

2019· article· en· W3111015511 on OpenAlexvenueno aff
Amanda Margaret Bergschneider Newell, Julie Schumacher, Wendy G. Troxel

Bibliographic record

VenueJournal of Critical Dietetics · 2019
Typearticle
Languageen
FieldHealth Professions
TopicDietetics, Nutrition, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsInternshipExperiential learningCurriculumMedical educationEmpirical researchSurvey researchPsychologyMedicinePedagogyApplied psychology

Abstract

fetched live from OpenAlex

Research is considered to be the foundation of the profession of dietetics, and it is a required component of the dietetic internship (DI) curriculum. However, studies have shown that dietitians, including dietetic educators, are not highly involved with research. This research-competency gap has been studied in the literature, but the role of DI directors, who are the gatekeepers of DI programs, have not been included in empirical discussions on this topic. The purpose of this study was to identify where DI directors fall on the research involvement continuum as defined by the Research Involvement Questionnaire (RIQ) and to identify the types of factors that influence DI directors’ involvement with research. In this cross-sectional survey study that included 96 DI directors, research involvement of DI directors was limited. Using the four levels of the research involvement continuum, it was found that more participants were classified into level one (low research experience) than levels two through four combined. Research involvement was most related to education/training, professional experience, and research experience. Based upon the theory of experiential learning, dietetic educators must have meaningful experiences with research in order to reach the higher levels on the research continuum. The findings from this study can be used to better prepare DI directors and other dietetic educators as well as to inform curricular decisions to better align education and practice within the profession of dietetics.

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)0.004
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.321
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.496
GPT teacher head0.564
Teacher spread0.068 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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