Dwelling with stories that haunt us: building a meaningful nursing practice
Bibliographic record
Abstract
The purpose of this article is to reflect on pediatric critical care nurses' experience of grief by focusing on the meaning of the stories that haunt them. It is suggested that these stories are the nurses' attempt to find ways to journey through their grief and to live with the mystery of life and death. It is also the task of these stories to throw light on their experiences, a task that is never entirely finished. Dwelling with the stories that haunt them helps to provide nurses with a moral structure of critical care nursing practice. Their reflections upon the meaning of their experiences of grief can lead to a view of death that is not always perceived as an evil to flee, but is upheld as a source of value and revelation as critical care nurses strive to build who they are and how they practice the art of nursing.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.021 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.023 | 0.057 |
| Scholarly communication | 0.020 | 0.024 |
| Open science | 0.003 | 0.028 |
| Research integrity | 0.005 | 0.012 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".