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Record W3019240288 · doi:10.5216/ree.v21.57000

Reflexões sobre as bases para a expansão das parcerias de Enfermagem entre Brasil-Canadá

2019· article· pt· W3019240288 on OpenAlexaff
Margareth Santos Zanchetta, Walterlânia Silva Santos, Ingryd Cunha Ventura Felipe, Dayse Mary da Silva Correia

Bibliographic record

VenueRevista Eletrônica de Enfermagem · 2019
Typearticle
Languagept
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

A construção de perfil mais eloquente para parcerias de cooperação científica Brasil-Canadá entre enfermeiros pesquisadores é requerido para incremento do número de publicações científicas, e ampliação da voz científica-política na arena de tomada de decisões políticas e administrativas. Assim, utilizamos o método reflexão crítica no período de maio-dezembro/2018. Acreditamos que financiar, compartilhar e produzir são os novos patamares como estratégias prioritárias. Desse modo, somos convidados a vislumbrar o quanto podemos evoluir juntos e o quanto tal evolução poderia ser melhor refletida nas publicações conjuntas por aqueles que lidam com diferentes abordagens ao discente/comunidade em atividades teóricas/práticas, no espaço acadêmico ou em ações extramuros, em que se desenvolvem novas ferramentas para tal ciência. Espera-se que a ousadia na internacionalização da pesquisa e na expansão da produtividade possa representar a força política por meio da pesquisa internacional multicêntrica, atraindo parcerias e atenção de organizações internacionais de Enfermagem.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.012

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 head0.059
GPT teacher head0.370
Teacher spread0.311 · 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 designNot applicable
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

Citations1
Published2019
Admission routes1
Has abstractyes

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