‘Being appropriately unusual’: a challenge for nurses in health‐promoting conversations with families
Bibliographic record
Abstract
This study describes the theoretical assumptions and the application for health-promoting conversations, as a communication tool for nurses when talking to patients and their families. The conversations can be used on a promotional, preventive and healing level when working with family-focused nursing. They are based on a multiverse, salutogenetic, relational and reflecting approach, and acknowledge each person's experience as equally valid, and focus on families' resources, and the relationship between the family and its environment. By posing reflective questions, reflection is made possible for both the family and the nurses. Family members are invited to tell their story, and they can listen to and learn from each other. Nurses are challenged to build a co-creating partnership with families in order to acknowledge them as experts on how to lead their lives and to use their own expert knowledge in order to facilitate new meanings to surface. In this way, family health can be enhanced.
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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 | 0.025 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.006 | 0.012 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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".