Arts-Informed Narrative Inquiry into nurse-teachers’ legacy for the next generation
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
Fewer teachers are available globally for nursing education positions, a fact exacerbated by retirement of ageing colleagues. As two late career nurse-teachers, we use Arts-Informed Narrative Inquiry to explore experiences of Canadian contemporaries to discern the legacy we have to share with nurse-teachers who come after us. Narrative Inquiry is a research process that reconstructs personal and professional experience to reveal learning and knowledge construction in researchers and teachers. It involves lifelines, stories, metaphors, collage-making and reflective dialogue to reveal what experienced nurse-teachers have learned about teaching-learning over their professional trajectories. As an outcome of this study, we offer a letter to new teachers as a legacy arising from conceptualizing teaching-learning practice as humanness of care; the creative processes for self-directed, site-specific faculty development are transferable to any professional and geographical contexts. The paper illuminates how research, education and practice are mutually informing and how emergent inquiry approaches are significant for faculty and curriculum development, as well as transformation of practices.
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 | 0.023 |
| 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 | 0.001 |
| 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