Supporting transvisibility and gender diversity in nursing practice and education: embracing cultural safety
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
Many nursing education programs deserve a failing grade with respect to supporting gender diversity in their interactions with their students and in terms of the curricular content directed toward engaging in the safe and supportive nursing care of transgender clients. This situation contributes to transinvisibility in the nursing profession and lays a foundation for nursing practice that does not recognize the role that gender identity plays in the health and well-being of trans-clients and trans-nurses. This article seeks to raise readers' awareness about the problems inherent to transinvisibility and to propose several curricular and structural-level interventions that may serve to gradually increase the recognition of gender diversity in the planning and delivery of nursing education and practice. Contextualized in gender and intersectionality theory, cultural safety is presented as a viable and appropriate framework for engaging in these upstream approaches to addressing gender diversity in nursing education and practice. Among the structural interventions proposed are as follows: inclusive information systems, creation of gender neutral and safe spaces, lobbying for inclusion of competencies that address care of trans-persons in accreditation standards and licensure examinations and engaging in nursing research in this area.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it