“In the end, we had to leave”: Truth-telling to unsettle whiteness in nursing academia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Nursing is renowned for its high ethical standards and is considered one of the most trusted professions globally, yet it has deep historical ties to Eurocentric and white supremacist ideologies. These entrenched ideologies in nursing raise significant concerns regarding equity, diversity, and inclusion within the profession as they shape nursing education, research, and practice. Western nursing institutions are deeply engrained in a system designed to center and uphold whiteness, which frequently serves to safeguard dominant groups in power while detrimentally affecting faculty from underrepresented backgrounds. Consequently, faculty members from underrepresented groups depart academia due to systemic racism and inadequate institutional accountability and support. To decenter whiteness in nursing, we have shared our experiences to underscore how systems of oppression marginalize underrepresented faculty in nursing academia.
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.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 it