Investigating and Challenging Spiritual Deficiency within Canadian Health Care Educational Leadership Models
Bibliographic record
Abstract
Attempts to bring the spiritual dimension of health into Canadian Health Care Educational Leadership models encounter great resistance. Discourses about “spirituality” are often silenced within healthcare educational leadership to reduce misunderstandings. At least one author has suggested that health professionals and policy makers not only have little understanding of spiritual life but are not familiar with the language of spirituality. The World Health Organization, for its part, has suggested in a number of places that spiritual aspects of life are relevant to health and may be important to healing. This paper investigates and challenges this spiritual deficiency, commencing with a brief literature review that supports the need to challenge spiritual deficiency within present Canadian healthcare leadership models. It then presents work by the present author in the form of a summary of her larger study that investigates and presents the need for spiritual leadership within these models. The paper ends with a brief summary of the main implications and conclusions of her wider study.
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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 | 0.022 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.031 | 0.017 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".