News Brief: Second State of the World's Nursing report expected in 2025.
Bibliographic record
Abstract
Second State of the World's Nursing report expected in 2025. A second State of the World's Nursing report will be produced by the World Health Organization (WHO) in 2025. WHO director-general Tedros Adhanom Ghebreyesus made the announcement via video address to the more than 6,000 nurses attending the International Council of Nurses (ICN) Congress 2023 in Montreal in early July. The WHO will work with the ICN to produce the report, which will detail the impact of the COVID-19 pandemic on the global nursing workforce. Speaking at a news briefing shortly after the announcement, ICN president Pamela Cipriano and chief executive officer Howard Catton said the organization had lobbied for a second State of the World's Nursing report because the data included in the first, which was produced in 2020, was gathered before the pandemic. Since then, the nursing workforce landscape has changed significantly, with reports of many nurses leaving the profession and significant increases in international recruitment and the replacement of RNs in some countries with nonlicensed personnel. The WHO director-general urged all nurses to work with their national nursing organizations “to support and advocate for your country's efforts to share robust data, on which this critical report depends.”
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; a candidate call from one teacher head, 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".