What nurses of color want from nursing philosophers
Bibliographic record
Abstract
Scholars of color have been instrumental in advancing nursing knowledge development but find limited spaces where one can authentically share their philosophical perspective. Although there is a call for antiracism in nursing and making way for more diverse and inclusive theories and philosophies, our voices remain at the margins of nursing theory and philosophy. In nursing philosophy, there continues to be a lack of racial diversity in those who are given the platform to share their scholarship. Five nurse scholars of color attended the International Nursing Philosophy Conference in August 2022. We established a collective system of support by sharing our experiences as researchers, scholars, and educators with each other. The theory of emancipatory nursing praxis informed this process. In this dialogue, we reflected on what it is like to present at and attend predominantly white nursing conferences. We shared our experiences of how we exist as nurse scholars, our philosophical views, and our thoughts on how we create spaces where scholars of color can feel welcomed and acknowledged for their contributions to advancing nursing knowledge.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".