The Rede Brasil De Bibliotecas Comunitárias: A Space For Sharing Information And Building New Knowledge
Bibliographic record
Abstract
This is a report on the experience of creating the Rede Brasil de Bibliotecas Comunitárias (RBBC), an online social network that aims to bring together and share information regarding practices employed in setting up local library collections and making them available to the public; discussing the principles that govern the autonomous management of these spaces; establishing ties and creating exchanges between the different agents and spheres involved in this process; and encouraging society’s participation in the construction of public policy for Brazilian libraries. The work presents the theoretical references that make up the foundation of the proposal, the methodology employed and analyzes the data obtained during the first ten months of the network’s existence.[pt] O relato apresenta a Rede Brasil de Bibliotecas Comunitárias (RBBC), seu histórico, objetivos e metodologia, assim como os resultados obtidos até o momento. Criada por um grupo de estudantes de Biblioteconomia, bibliotecários e pesquisadores da área, juntamente com lideranças locais, responsáveis por bibliotecas comunitárias no Brasil, tornou-se o primeiro espaço de debates virtual sobre o tema. Tem por objetivos: compartilhar informações relativas às práticas empregadas na formação e disponibilização de acervos locais; discutir e refletir sobre os princípios que regem a gestão autônoma desses espaços; estabelecer vínculos e articulações entre os diversos agentes e esferas envolvidas nesse processo, e estimular a participação da sociedade no processo de construção de políticas públicas para a área de bibliotecas no Brasil.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.017 | 0.009 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.002 |
| 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".