Right There, in the Midst of It: Impacts of the Therapeutic Relationship on Mental Health Nurses
Bibliographic record
Abstract
Mental health nurses are frequently confronted by intense emotions within the therapeutic relationship. In this philosophical hermeneutic inquiry, five mental health nurses were interviewed to extend our understandings of how nurses are impacted by the interplay with the often emotion-laden narratives of their patients. Findings exposed the nurses journeyed between fluctuating needs to separate and protect their private from their work life. In order for this fluctuation to occur, they developed a sense of the world as requiring a sanctuary. This ontological place of home is the extent to which they felt safe and sheltered in order for this process of awareness of self as person and self as nurse to unfold. This research brings to the forefront the ways in which mental health nursing practice, education, and research are reciprocally moved by the practical day-to-day activities of being in therapeutic relationships.
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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 | 0.013 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.031 | 0.031 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.004 | 0.007 |
| 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".