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Record W2342536499 · doi:10.5380/ce.v18i4.34941

POLITICS IN NURSING: AN ESSENTIAL LEARNING FOR POSTGRADUATE STUDENTS

2013· article· pt· W2342536499 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCogitare Enfermagem · 2013
Typearticle
Languagept
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsMcGill University
Fundersnot available
KeywordsPoliticsNursingPsychologyMedicinePedagogyPolitical scienceLaw

Abstract

fetched live from OpenAlex

No Canadá, como em outros lugares, enfermeiros devem enfrentar muitos desafios caso queiram participar como umgrupo que influencia em organizações de cuidados em saúde. Contudo, existem alguns facilitadores, entre eles estão a habilidade deanalisar o contexto, assuntos e percurso correto de ações sob a perspectiva política. Este artigo compartilha o resultado de aprendizado de estudantes de pós-graduação durante um seminário em politicas relacionadas aos serviços de administração de enfermagem na Universidade Laval, Quebec, Canadá. O objetivo deste artigo é apresentar o aprendizado alcançado sobre temas e assuntos discutidos e introduzir ferramentas para análise política, úteis para descrever a atual posição de enfermagem no sistema de saúde. No final do seminário, o aprendizado permitiu aos estudantes compreender diferentes elementos que devem ser considerados para avaliar a atual situação no que diz respeito a assuntos importantes para a profissão, e considerar percursos de ação para influenciar seu desenvolvimento.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.061
GPT teacher head0.405
Teacher spread0.344 · 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