Holistic Nurses’ Use of Energy-Based Caring Modalities
Bibliographic record
Abstract
As part of a study of a larger study of self-identified holistic nurses, researchers asked nurses to describe practice situations where energy-based modalities (EBMs) were used. Four hundred and twenty-four nurses responded by writing free-text responses on an online survey tool. The participants were highly educated and very experienced with 42% holding graduate degrees and 77% having over 21 years of practice. Conventional content analysis revealed four themes: EMBs are 1) caring modalities used to treat a wide range of identified nursing concerns; 2) implemented across the life span and to facilitate life transitions; 3) support care for the treatment of specific medical conditions; and 4) Use of EBMs transcend labels of 'conditions' and are used within a holistic framework. The fourth theme reveals a shared vision of nursing work such that the modality becomes secondary and the need to address the 'whole' at an energetic level emerges as the primary focus of holistic 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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; 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".