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Spanish nursing under Franco: reinvention, modernization and repression (1956–1976)

2011· article· en· W1963326358 on OpenAlexaff
Margalida Miró‐Bonet, Denise Gastaldo, Sioban Nelson, Gloria Gallego

Bibliographic record

VenueNursing Inquiry · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Gender and Feminism Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsModernization theoryState (computer science)Power (physics)DisciplineGovernment (linguistics)NursingSociologyPolitical scienceMedicineLaw

Abstract

fetched live from OpenAlex

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 This article discusses this crucial phase of Spanish nursing history by focusing on one influential historical document (published in 1956), Professional Moral Orientation for the Sanitary Technical Assistants, a nursing textbook on professional morals for first-year nursing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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.961
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.160
GPT teacher head0.367
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2011
Admission routes1
Has abstractyes

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