The American Nursing Shortage during World War I: The Debate over the Use of Nurses’ Aids
Bibliographic record
Abstract
This article explores the history of the creation of the Army and Navy Female Nurse Corps and the debate that ensued between American nursing leaders Jane Delano, director of the Red Cross Nursing Service, M. Adelaide Nutting, president of the American Federation of Nurses, and Annie Goodrich, dean of the Army School of Nursing, over the use of untrained nurses' aids to offset the nursing shortage that resulted from the United States entry into the Great War in 1917. The recruitment of minimally or untrained nurses' aids to offset the nursing shortage of the World War I era was a logical solution for American nursing leaders who had to meet the needs for nursing personnel. The exclusion of trained African American nurses, however, was a gross oversight on the part of these leaders. Whether or not this action compromised the status of nursing as a profession is still a matter of interest. Moreover, the debate about the delivery of care by unlicensed personnel continues.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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; 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".