Bibliographic record
Abstract
Public health nursing was the term Lillian Wald used to describe the work of nurses whose role it was to address both the immediate impact of sickness and the underlying relationship between poverty, social disadvantage, environmental hazards, and disease. The nature and content of American public health nursing of the 1930s are reflected in exemplars from Marguerite Wales's 1941 book, The Public Health Nurse in Action. Nurses' roles as educators, caregivers, and case managers overcoming barriers emerge from the tales. These vignettes illustrate the organic relationships that existed between nurses and communities. Nurses' understanding of the nature and influence of environmental, psychological and social factors on health behavior was essential to effective public health work. Their stories help us interpret the meaning of nursing at a moment in time. They also reflect the values of the founders of Henry Street Nursing Service and supervisors of public and voluntary agencies throughout the U.S. and Canada who selected and edited them for instructive purposes. Reading collections of such narratives also helps us to appreciate the difficulty of negotiating complex needs, and may provide greater appreciation for the work of our predecessors as well as our own.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.051 | 0.018 |
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".