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Record W2900895220 · doi:10.3148/cjdpr-2018-035

Employment Outcomes among Registered Dietitians following Graduation in Manitoba

2018· article· en· W2900895220 on OpenAlexaffvenueabout
Adriana N. Mudryj, Kayla L. Farquhar, Kerry Spence, Kathy Vagianos, Miyoung Suh, Natalie D. Riediger

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2018
Typearticle
Languageen
FieldHealth Professions
TopicDietetics, Nutrition, and Education
Canadian institutionsFirst Nations Health and Social Secretariat of ManitobaUniversity of Manitoba
Fundersnot available
KeywordsGraduation (instrument)RespondentPreparednessDemographicsMedicineRural areaTest (biology)Family medicineCurriculumMedical educationGerontologyNursingDemographyPsychologyPolitical scienceSociologyPedagogy

Abstract

fetched live from OpenAlex

Purpose: The study objectives were to (i) describe employment outcomes among Registered Dietitians (RDs) who graduated from the University of Manitoba, (ii) test for differences in employment outcomes according to graduation year, and (iii) compare preferred area of practice and geography prior to employment with past and current employment. Methods: Graduates of the Human Nutritional Sciences program (2006–2015) were invited to participate in an online survey. Data on respondent demographics, education, and employment outcomes were collected. Results: Overall, 133 (68%) respondents self-identified as RDs. RDs who had graduated between 2006 and 2011 were significantly more likely to secure employment within 6 months post-graduation compared with RDs that graduated between 2012 and 2015. Geographically, although 56% of RDs did not wish to gain experience in rural/remote communities upon graduating, 44% of these respondents reported working part- or full-time in a rural/remote location at some point during their career. Conclusion: Findings indicate that a substantial number of RDs in Manitoba are employed in a rural or remote location despite acknowledging that it is not a preferred location. Future research is needed to explore the views and experiences of new and established RDs toward rural or remote practice, including preparedness for practice.

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)0.006
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 score0.249
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.272
GPT teacher head0.513
Teacher spread0.241 · 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

Citations5
Published2018
Admission routes3
Has abstractyes

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