MétaCan
Menu
Back to cohort

THE UNIFORM OF NURSING STUDENTS: A STRATEGY FOR THE CONSTRUCTION OF PROFESSIONAL IDENTITY (1950-1960)

2019· article· en· W2946214062 on OpenAlexafffund
Pacita Geovana Gama de Sousa Aperibense, Camila Pureza Guimarães da Silva, Tânia Cristina Franco Santos, Antônio José de Almeida Filho, Sioban Nelson, María Angélica de Almeida Peres

Bibliographic record

VenueTexto & Contexto - Enfermagem · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Education Research in Brazil
Canadian institutionsUniversity of Toronto
FundersUniversity of Toronto
KeywordsIdentity (music)PsychologySet (abstract data type)Element (criminal law)Thematic analysisNursingSociologyMedicinePolitical scienceSocial scienceQualitative researchArtComputer scienceAestheticsLaw

Abstract

fetched live from OpenAlex

ABSTRACT Objective: to analyze the use of the student uniform as one of the determinants in the establishment of the professional identity of the nurse graduated from Escola de Enfermagem Anna Nery in the 1950-1960. Method: Socio-historical study, using documents of that time and interviews by means of the thematic oral history technique with seven former Escola de Enfermagem Anna Nery students as sources, Rio de Janeiro, Brazil. Claude Dubar’s concept of identity supported the discussion of the data. Results: the uniform leveled the students, equaled them and set a standard of behavior to be followed. It also distinguished them hierarchically and served as an assessment item during the course. Conclusion: the uniform was a determinant strategy of the professional identity during the daily course reality as, according to the former students, it was an element that distinguished this group’s positions and behaviors, permitting the understanding of the graduated nurse’s possible roles in the society of that time.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.995
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.003
Science and technology studies0.0050.007
Scholarly communication0.0030.003
Open science0.0010.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.465
GPT teacher head0.520
Teacher spread0.055 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations12
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueTexto & Contexto - EnfermagemSame topicHistory of Education Research in BrazilFrench-language works237,207