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Record W7113470876

Liderança, administração e gestão nos cuidados de saúde: um protocolo de revisão de escopo no âmbito do ensino da enfermagem

2023· article· en· W7113470876 on OpenAlexaboutno aff

Bibliographic record

VenueRepositório Comum (Repositório Científico de Acesso Aberto de Portugal) · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsnot available
Fundersnot available
KeywordsIdentification (biology)UnderpinningScopusFace (sociological concept)Process (computing)Subject (documents)Administration (probate law)Data collection
DOInot available

Abstract

fetched live from OpenAlex

Introduction: Strategic leadership in nursing, represents one of the global goals at the current time. Although integrated into university programs, the teaching of administration and management, did not seem to promote the expected results. This finding may be a consequence of the teaching methods, competencies targeted, or students' perceptions of the usefulness and interest of the subject. A new theoretical framework is needed, with the identification of underpinning skills, key contents and teaching methodologies adapted to the current reality. Objectives: Map the models and conceptions of teaching-learning nursing administration and management. Methods: This review will follow the JBI methodology, and will include all types of studies, published in English, French, Spanish, and Portuguese, on the last decade, without any geographical limitations. The databases included MEDLINE, CINAHL, Psychology and Behavioral Sciences Collection by EBSCO, Scopus (Elsevier), Canadian Science Publishing, grey literature (Google Scholar) and Repositório Científico de Acesso Aberto de Portugal (RCAAP). Data will be analysed and extracted by two independent researchers and will be presented in a specific table. Results: Previous bibliographic research allowed the identification of some concepts, theories and pedagogical strategies implemented in the teaching-learning process of the subject. Conclusion: The results will contribute to help instructors to improve their educational approach, adapting the theory of the subject through the use and development of teaching-learning strategies that can support and empower upcoming nurses, face to future challenges in healthcare.

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 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)0.009
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.421
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.004
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0050.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0010.002

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 head0.412
Teacher spread0.354 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations0
Published2023
Admission routes1
Has abstractyes

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Same venueRepositório Comum (Repositório Científico de Acesso Aberto de Portugal)Same topicHealth, Nursing, Elderly CareFrench-language works237,207