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Record W4391534500 · doi:10.1590/0100-6991e-20243667

Expandindo o Ensino de Cirurgia Global no Brasil: Perspectivas após o 35º Congresso Brasileiro de Cirurgia

2024· article· pt· W4391534500 on OpenAlexaff
Luiza Telles, Ayla Gerk, Letícia Nunes Campos, Sofia Wagemaker Viana, Ana Woo Sook Kim, Natália Zaneti Sampaio, Roseanne Ferreira, Joaquim Murray Bustorff‐Silva, David P. Mooney, Cristina Pires Camargo

Bibliographic record

VenueRevista do Colégio Brasileiro de Cirurgiões · 2024
Typearticle
Languagept
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

RESUMO O 35º Congresso Brasileiro de Cirurgia foi marcado por discussões inovadoras para a educação cirúrgica no país. Pela primeira vez, o Colégio Brasileiro de Cirurgiões incluiu a Cirurgia Global na pauta principal do congresso, proporcionando uma oportunidade única de repensar como as habilidades cirúrgicas são ensinadas a partir de uma perspectiva de saúde pública. Essa discussão nos leva a considerar por que e como o ensino da Cirurgia Global deve ser expandido no Brasil. Embora pesquisadores e instituições brasileiras tenham contribuído para a expansão do campo desde 2015, as iniciativas de educação em Cirurgia Global ainda são incipientes em nosso país. Basear-se em estratégias bem-sucedidas pode ser um ponto de partida para promover a área entre os profissionais de cirurgia nacionais. Neste editorial, discutimos potenciais estratégias para expandir as oportunidades de educação em Cirurgia Global e propomos uma série de recomendações a nível nacional.

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)0.005
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.137
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.004
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.004

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 head0.019
GPT teacher head0.325
Teacher spread0.306 · 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
Published2024
Admission routes1
Has abstractyes

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Same venueRevista do Colégio Brasileiro de CirurgiõesSame topicGlobal Health and SurgeryFrench-language works237,207