Parcerias interinstitucionais: o investimento na construção de projetos multicêntricos sobre drogas lícitas e ilícitas
Bibliographic record
Abstract
ste volume reune a contribuicao de docentes de instituicoes de ensino superior de enfermagem daAmerica Latina que, com o apoio da CICAD, deslocaram-se para o Canada, especificamente a Universidade deAlberta-Faculty of Nursing, com o objetivo de capacitacao em pesquisa no tema drogas licitas e ilicitas, e debuscar parcerias entre si e com os professores daquela instituicao visando o desenvolvimento de projetosconjuntos.A Faculdade de Enfermagem da Universidade de Alberta participou do Projeto de Escolas de Enfermagemdesenvolvido pela CICAD/OEA como instituicao colaboradora e recebeu em 2003 onze pesquisadores latino-americanos para o I Programa Internacional de Capacitacao em Pesquisa para Enfermeiros no Estudo doFenomeno das Drogas. Como um centro de excelencia em pesquisa, a Faculdade de Enfermagem da Universidadede Alberta recebeu professores de Escolas de Enfermagem do Brasil, Argentina, Chile, Equador, Mexico e Perupara um programa inovador de tres meses focado no desenvolvimento de pesquisadores e lideres deenfermagem.Os artigos resultantes dessa iniciativa mostram, em diversos graus, o avanco nessas parcerias eevidenciam a mulher como sujeito prioritario das investigacoes. Tal prioridade tem fundamento em dadosdemograficos de estudos realizados no âmbito mundial
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.030 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.017 | 0.020 |
| Scholarly communication | 0.023 | 0.010 |
| Open science | 0.005 | 0.034 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".