Learning to Care for Spiritual Needs: Connecting Spiritually
Bibliographic record
Abstract
Despite mandates to provide spiritual care, confusion persists among nurses about spirituality, spiritual needs, and related roles. To discover how practicing nurses acquire knowledge for spiritual care, the authors chose a grounded theory design. They constantly compared and analyzed verbatim transcribed interview data to find the core variable, categories, and properties. Connection, manifesting as a state, act, or process, appeared throughout the data. Categories emerged as Needing Connection, Nurturing Connection, Learning Connection, and Living Connection. Nurses used a cyclical, intertwined, and progressive learning process of opening to, struggling with, and making connections between numerous discrete personal and professional experiences. Shifting attention between these interconnected experiences fueled knowledge acquisition. Whether referring to how nurses learn, what they do, or with whom, the theory Connecting Spiritually joined categories into a cumulative experiential learning process that explained how nurses learn to care for spiritual needs.
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How this classification was reachedexpand
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 | 0.058 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".