XI CONGRESSO INTERNACIONAL DA ASSOCIAÇÃO BRASILEIRA DE ESTUDOS CANADENSES 20 ANOS DE INTERFACES BRASIL-CANADÁ.
Bibliographic record
Abstract
Os dez anos da Interfaces Brasil/Canadá, revista oficial da ABECAN, coincidem com a comemoração dos 20 anos da Associação Brasileira de Estudos Canadenses, datas celebradas nesta edição. Traçamos brevemente aqui a trajetória da revista, versões impres- sa e on-line, focalizando seus pontos mais importantes, algumas lacunas, seus principais protagonistas, e algumas metas a serem alcançadas.Palavras-chave: Interfaces Brasil/Canadá, revista oficial da Abecan, versão escrita, versão on-lineAbstract: The ten years of Interfaces Brasil/Canadá, the official journal of ABECAN, coincides with the celebration of twenty years of the Brazilian Association of Canadian Studies, both dates celebrated in this issue. We briefly trace here the trajectory of the publication on its printed and online versions, focusing on the strongest points and some omissions, its main protagonists and some of the goals to be achieved.Keywords: Interfaces Brasil/Canadá, Abecan official journal, printed version, on-line versionRésumé: Les dix ans d’Interfaces Brasil/Canadá, revue officielle de l’ABECAN, coïncident avec la commémoration des vingt ans de l’Association brésilienne d’études canadiennes, dates célébrées dans cette édition. Nous traçons brièvement ici la trajectoire de la revue, versions écrite et on-line, tout en focalisant ses points plus importants, quelques lacunes, ses principaux protagonistes, voire quelques buts à atteindre.Mots-clés: Interfaces Brasil/Canadá, revue officielle de l’Abecan, version écrite, version on-line
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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 | 0.010 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.082 | 0.013 |
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".