Building the Nightingale Initiative for Global Health—NIGH
Bibliographic record
Abstract
The Nightingale Initiative for Global Health (NIGH) is a major grassroots-to-global movement of "daring, caring and sharing" of nursing and others around the world inspired by the outstanding legacy of Florence Nightingale. The Nightingale Initiative envisions and emulates what Nightingale might have accomplished if she lived in the digital age and with international agencies such as the United Nations and World Health Organization. It challenges nurses everywhere to think and act both locally and globally, to raise their voices about the contribution of nursing, and to become authentic advocates, particularly in addressing the United Nations Millennium Development Goals.
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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 | 0.015 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.010 | 0.014 |
| Open science | 0.002 | 0.027 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.026 | 0.006 |
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".