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Professional socialization: students becoming nurses

2006· article· en· W2104175637 on OpenAlexaff
Gilberto Tadeu Shinyashiki, Isabel Amélia Costa Mendes, María Auxiliadora Trevizan, Rene Day

Bibliographic record

VenueRevista Latino-Americana de Enfermagem · 2006
Typearticle
Languageen
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSocializationPsychologyQuality (philosophy)NursingMedical educationExploratory researchPedagogyMedicineSocial psychologySociology

Abstract

fetched live from OpenAlex

Usually colleges are evaluated by the quality of the knowledge and technical training offered to the students. Little attention is given to the acquisition of the values, behaviors and attitudes necessary to assume their professional role. This exploratory study aims to increase understanding of the professional socialization process that occurs at nursing schools and the results obtained through the socialization of professional values and standards. The educational experience of nursing students involves more than a body of scientific knowledge and the acquisition of abilities to provide care to patients. Questionnaires were filled out by 278 students of two public Nursing Schools in São Paulo state, 164 in school A and 114 in school B. The results indicated that some professional values, norms and behaviors are influenced by College years, studying at a College of Nursing during four years leads to a difference in values, norms and professional behavior.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
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 head0.058
GPT teacher head0.474
Teacher spread0.416 · 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.

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

Citations65
Published2006
Admission routes1
Has abstractyes

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