Systemic and institutionalized racism, not achievement gap factors, limit the success of Black, Indigenous, and People of Color in dietetics education and credentialing
Bibliographic record
Abstract
Our aim was to explore racial/ethnic differences on achievement and opportunity gap factors in nutrition students and identify factors related to the pathway to become a Registered Dietitian Nutritionist (RDN). An online survey was completed by 1447 current or recent dietetic students and interns, some of whom identified as RDNs and/or Nutrition and Dietetic Technician, Registered (NDTRs). The survey consisted of validated scales measuring academic confidence, mentoring, racial climate, grit, and time management, and questions measuring socio-economic factors. Analysis included descriptive statistics, multiple regression, t-tests, and chi-squares. No differences were observed between the scores of Black, Indigenous, and participants of color (BIPOC) and White participants on academic scales. BIPOC experienced a more negative racial climate than White participants (p<0.05). Black dietetics students are also at particular economic disadvantage compared to other participants of color. Ultimately, Black and BIPOC are as academically prepared as White participants but institutionalized and structural racism (e.g., opportunity gap factors) limit their opportunities to succeed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".