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Record W3111453324 · doi:10.32920/cd.v4i1.723

Barriers for people of color to RD in the US

2018· article· en· W3111453324 on OpenAlexvenueno aff
Jill White

Bibliographic record

VenueJournal of Critical Dietetics · 2018
Typearticle
Languageen
FieldHealth Professions
TopicDietetics, Nutrition, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsInternshipEthnic groupPeople of colorHealth equityHealth careRace (biology)MedicineGerontologyFamily medicineAfrican americanWomen of colorRace and healthUnderrepresented MinorityCultural competenceNursingPolitical scienceMedical educationPsychologyGender studiesPublic healthSociologyEthnologyPedagogy

Abstract

fetched live from OpenAlex

The Healthy People 2010 objective of eliminating health disparities was prompted by the Institute of Medicine (IOM) report Unequal Treatment; Confronting Racial and Ethnic Disparities in Health Care . The report documented racial inequities within the U.S. health care delivery system, including differential treatment on the basis of race demonstrated by health care practitioners. Recommendation 5-3 was to Increase the proportion of underrepresented U.S. racial and ethnic minorities among health professionals .Between 2002 and 2008 the number of people of color entering undergraduate Nutrition programs increased by 67 %, while the number admitted to internships decreased by 11% . Of particular concern is the 58% decrease in African American's admitted into dietetic internships over the past decade. This paper is a discussion of barriers to RD that have been identified by African Americans in five studies, in hopes of shedding light on how to address and reverse this trend.

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)0.001
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.205
Threshold uncertainty score0.966

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.068
GPT teacher head0.481
Teacher spread0.413 · 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 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

Citations0
Published2018
Admission routes1
Has abstractyes

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