Bibliographic record
Abstract
PROJETO GRÁFICOTainá Moraes e Edvaldo Monteiro DIAGRAMAÇÃOZeta Studio EDITORESIvanise AndradeLívia VieiraSusana Morales EDITOR ADJUNTOAndré Holanda CONSELHO EDITORIALAdriano Duarte, Universidade Nova de Lisboa, Lisboa, PortugalAfonso Albuquerque, Universidade Federal Fluminense, Niterói, Rio de Janeiro, BrasilAlessandra Aldé, Universidade do Estado do Rio de Janeiro, Rio de Janeiro - RJ, BrasilAna Paula Goulart, Universidade Federal do Rio de Janeiro, Rio de Janeiro - RJ, BrasilAndré Lemos, Universidade Federal da Bahia, BrasilAndrew Herman, Wilfrid Laurier University, Ontario, CanadáAngela Prysthon, Universidade Federal de Pernambuco, Recife, Pernambuco, BrasilAntonio Fidalgo, Universidade da Beira Interior, Covilhã, PortugalBenjamim Picado, Universidade Federal Fluminense, Niterói - BrasilCésar Guimarães, Universidade Federal de Minas Gerais, Belo Horizonte, BrasilChrista Berger, Universidade do Vale do Rio dos Sinos, São Leopoldo, Rio Grande do Sul, BrasilEneus Trindade, Universidade de São Paulo, São Paulo, BrasilErick Felinto, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, BrasilEvelyne Cohen, École Nationale Supérieure Sciences de l’information et des bibliothèques, Villeurbanne, FrançaFrancisco Paulo Jamil Almeida Marques, Universidade Federal do Ceará, Fortaleza, BrasilFrançois Jost, Université Sorbonne Nouvelle-Paris 3, Paris, FrançaGiovandro Marcus Ferreira, Universidade Federal da Bahia, Salvador, Bahia, BrasilGuilherme Maia de Jesus, Universidade Federal da Bahia, Salvador, Bahia, BrasilIluska Coutinho, Universidade Federal de Juiz de Fora, Juiz de Fora, Minas Gerais, BrasilItania Maria Mota Gomes, Universidade Federal da Bahia, Salvador, Bahia, BrasilJames Katz, Rutgers University, New Brunswick, Estados UnidosJavier Días Noci, Universidad Pompeu Fabra, Barcelona, EspanhaJoão Freire Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro - RJ, BrasilJosé Luiz Braga, Universidade do Vale do Rio dos Sinos, São Leopoldo, Rio Grande do Sul, BrasilJuremir Machado, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, BrasilKimberly Sawchuk, Concordia University, Montreal, CanadáLiv Sovik, Universidade Federal do Rio de Janeiro, Rio de Janeiro - RJ, BrasilMarcius Freire, Universidade Estadual de Campinas, Campinas, São Paulo, BrasilMarcos Silva Palacios, Universidade Federal da Bahia, BrasilMaria Ataíde Malcher, Universidade Federal do Amazonas, Manaus, Amazonas, BrasilMaria Carmem Jacob, Universidade Federal da Bahia, Salvador, Bahia, BrasilMarie-France Chambat-Houillon, Université Sorbonne Nouvelle-Paris 3, Paris, FrançaMichel Maffesoli, Sorbonne, Paris, FrançaOthon Jambeiro, Universidade Federal da Bahia, BrasilPierre Lévy, Ottawa University, Ottawa, CanadáRob Shields, University of Alberta, Edmonton, CanadáRousiley Maia, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, BrasilWill Straw, McGill Institute, Montreal, CanadáWilson da Silva Gomes, Universidade Federal da Bahia, Salvador, Bahia, Brasil
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.618 | 0.383 |
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".