Convênio UQAM-UFF-UFRGS: intercâmbio, interlocução, colaboração.
Bibliographic record
Abstract
Este texto traça um histórico do convênio entre a Universidade Federal Flumi- nense (UFF), a Universidade Federal do Rio Grande do Sul (UFRGS) e a Université du Québec à Montréal (UQAM), destacando as produções científicas tais como congressos e publicações, resultados concretos desta interlocução de pesquisadores dos dois países.Palavras-chave: intercâmbio Brasil-Quebec; convênio; congressos e publicaçõesAbstract: This text draws the history of the Exchange Program between the Universidade Federal Fluminense (UFF), the Universidade Federal do Rio Grande do Sul (UFRGS) and the Université du Québec à Montréal (UQAM), underlining the scientific productions such as the conferences and the publications, which are the outcome of the exchanges of researchers of the two countries.Keywords: exchange program Brazil-Quebec; conferences and publications.Résumé: Ce texte retrace l’histoire de l’accord d’échange entre l’Universidade Federal Fluminense (UFF), l’Universidade Federal do Rio Grande do Sul (UFRGS) et l’Université du Québec à Montréal (UQAM), tout en faisant une mise au point des productions scientifiques comme les congrès et les publications qui découlèrent de cette interlocution de chercheurs des deux pays.Mots-clés: accord d’échange Brésil-Québec; congrès et publications.
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 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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.060 | 0.006 |
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".