Spanish nursing under Franco: reinvention, modernization and repression (1956–1976)
Bibliographic record
Abstract
This article examines Spanish nursing during a critical 20-year period (1956-76) when, under the dictatorial government of General Franco, nursing became the target of a modernization strategy. In the national standardized system of state-run schools, the previously distinct nursing and midwifery programmes were merged into a new training programme which created the single professional denomination of ATS-Ayudante Técnico Sanitario (Technical Sanitary Assistant). Under the leadership of medicine, and with the blessing of the Catholic Church and the Sección Femenina (Women's Section of the Falangist Party), nursing was positioned as feminized and subordinate to medicine, a predominantly male profession in mid-twentieth century Spain. This article discusses this crucial phase of Spanish nursing history by focusing on one influential historical document (published in 1956), Professional Moral Orientation for the Sanitary Technical Assistants, a nursing textbook on professional morals for first-year nursing students written by Rosamaria Miranda, a Catholic nun and a trained nurse. Our analysis reveals that gender-related and technical discourses concerning disciplinary and pastoral power relations presented in this textbook legitimate the core beliefs of Franquism put forward by the politically powerful women's branch of the ruling Falangist Party in mid-twentieth century Spain.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".