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Record W2122050828 · doi:10.12968/bjon.2013.22.14.836

South American legal perspective on professional nursing

2013· review· en· W2122050828 on OpenAlexaff
Fagner Alfredo Ardisson Cirino Campos, Oleg Nekrassovski

Bibliographic record

VenueBritish Journal of Nursing · 2013
Typereview
Languageen
FieldSocial Sciences
TopicPublic Health in Brazil
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsLegislationNursingCompetence (human resources)MedicinePerspective (graphical)Professional associationPolitical sciencePsychologyLaw

Abstract

fetched live from OpenAlex

This study involved a literature review aimed at describing the professional duties, stipulated in federal legislation, of nursing professionals in South America. According to the federal legislation that regulates the professional nursing practice, nurses are supposed to apply their skills and knowledge in an autonomous and secure way. Since it is through this legislation that professional competence of nurses is determined, the laws of each South American nation were consulted, to see how professional nursing functions differ according to each. In general, according to the South American federal nursing legislations, professional nursing practice must be grounded in quality patient care and good nursing administration.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0020.003
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.105
GPT teacher head0.498
Teacher spread0.393 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2013
Admission routes1
Has abstractyes

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