The Developmental/Health Framework Within the McGill Model of Nursing
Bibliographic record
Abstract
In Brief The Developmental/Health Framework (DHFW) within the McGill Model of Nursing (MMN) provides the foundational knowledge consistent with Nightingale's vision of working with the “laws of nature” to promote health and healing. The DHFW describes the processes, principles, and mechanisms rooted in the biological, developmental, and nursing sciences that are required to provide “whole person” care. The MMN provides a model of nursing based on a strengths-based approach within a collaborative partnership relationship. The DHFW has been used to modify the MMN to create a universal and comprehensive approach to nursing practice. The Developmental/Health Framework (DHFW) within the McGill Model of Nursing (MMN) provides the foundational knowledge consistent with Nightingale's vision of working with the “laws of nature” to promote health and healing. The DHFW has been used to modify the MMN to create a universal and comprehensive approach to nursing practice.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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".