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Ensino do processo de enfermagem na academia: relato à luz de Maguerez

2017· article· pt· W2776429922 on OpenAlexaff
Ronny Anderson de Oliveira Cruz, Elidianne Layanne Medeiros de Araújo, Neyce de Matos Nascimento, Jael Rúbia Figueiredo de Sá França, Jacira dos Santos Oliveira

Bibliographic record

VenueRevista de Enfermagem UFPE on line · 2017
Typearticle
Languagept
FieldComputer Science
TopicHealthcare during COVID-19 Pandemic
Canadian institutionsContinental (Canada)
Fundersnot available
KeywordsHumanitiesNursing processPsychologyNursingSociologyPhilosophyMedicine

Abstract

fetched live from OpenAlex

RESUMOObjetivo: descrever a experiência de discentes no desenvolvimento de uma atividade na disciplina de Processo de Cuidar na Pós-Graduação em Enfermagem. Método: estudo qualitativo, descritivo, do tipo relato de experiência. Utilizou-se o Arco de Maguerez, a partir da questão: Quais as fragilidades no ensino do processo de Enfermagem na Academia? Resultados: a Enfermagem evolui em a busca de diversas habilidades, saberes e fazeres profissionais. Assim, o ensino do processo de Enfermagem, em sua maioria, ainda está relacionado à transmissão de bases conceituais, com fragmentação da construção do conhecimento, o que tem contribuído para a falta de significado. Conclusão: as fragilidades no ensino do processo de Enfermagem na academia tinham resultado em dificuldades de implantação e de adesão nos serviços públicos e privados e há a necessidade de refletir acerca da fragmentação entre teoria e prática. Descritores: Enfermagem; Ensino; Processos de Enfermagem.ABSTRACTObjective: to describe the experience of students in the development of an activity in the discipline of Caring Process in Nursing Graduate Program. Method: qualitative, descriptive study, of the type of experience report. It was used the Arch of Maguerez, from the question: What weaknesses in the teaching of the process of Nursing in the Academy? Results: Nursing evolves in search of several skills, knowledge and professional practices. Thus, the teaching of the Nursing process, for the most part, is still related to the transmission of conceptual bases, with fragmentation of the construction of knowledge, which has contributed to the lack of meaning. Conclusion: weaknesses in the teaching of the nursing process in the academy had resulted in difficulties of implementation and adherence in public and private services and there is a need to reflect on the fragmentation between theory and practice. Descriptors:Nursing; Teaching; Nursing Processes.RESUMENObjetivo: describir la experiencia de los estudiantes en el desarrollo de una actividad en la disciplina de Proceso de Cuidar en el Postgrado en Enfermería. Método: estudio cualitativo, descriptivo, del tipo relato de experiencia. Se utilizó el Arco de Maguerez, a partir de la cuestión: ¿Cuáles son las fragilidades en la enseñanza del proceso de Enfermería en la Academia? Resultados: la Enfermería evoluciona en la búsqueda de diversas habilidades, saberes y haceres profesionales. Así, la enseñanza del proceso de Enfermería, en su mayoría, todavía está relacionada a la transmisión de bases conceptuales, con fragmentación de la construcción del conocimiento, lo que ha contribuido a la falta de significado. Conclusión: las fragilidades en la enseñanza del proceso de Enfermería en la academia habían resultado en dificultades de implantación y de adhesión en los servicios públicos y privados y que hay la necesidad de reflexionar acerca de la fragmentación entre teoría y práctica. Descriptores: Enfermería; Enseñanza; Procesos de Enfermería.

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)0.015
metaresearch head score (Gemma)0.026
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.026
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0110.027
Scholarly communication0.0170.012
Open science0.0020.013
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.106
GPT teacher head0.407
Teacher spread0.301 · 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".

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Citations4
Published2017
Admission routes1
Has abstractyes

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