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Record W2012779853 · doi:10.3148/71.1.2010.33

<i>Perceived Roles, Benefits, and Supports</i>For Dietetic Internship Preceptors

2010· article· en· W2012779853 on OpenAlexafffundvenue
Deanne Ortman, Linda Mann, Judy Fraser Arsenault

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2010
Typearticle
Languageen
FieldHealth Professions
TopicDietetics, Nutrition, and Education
Canadian institutionsMount Saint Vincent University
FundersCanadian Institutes of Health ResearchMount Saint Vincent University
KeywordsInternshipMedical educationPsychologyPerceptionMedicineNursing

Abstract

fetched live from OpenAlex

Evaluation of university-run dietetic internship programs will improve preceptors' experience and, ultimately, increase the capacity for training future dietitians. We attempted to identify preceptors' perceptions of their roles, benefits, and supports, as well as of the skills/traits that students need for internship, and suggested improvements for the internship program. Fifteen of 39 current program preceptors who had supervised more than one intern consented to participate in an ethics-approved research methodology. They responded anonymously to a series of questions posted in an online discussion group, and provided feedback on the subsequent reports. While no consensus emerged, more than 50% of participants perceived their role as providing a supportive learning experience for interns. Benefits noted most frequently were personal academic growth and contributions to their organizations from intern research projects. Effective supports included conventional communication methods and website materials. Participants identified self-motivation, independence, and communication skills as most important for interns. They also provided several suggestions for program improvements. The study methods and results could be helpful to other university-run internship programs seeking improvement and growth.

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)0.005
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.451
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.137
GPT teacher head0.470
Teacher spread0.333 · 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
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

Citations16
Published2010
Admission routes3
Has abstractyes

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