Bibliographic record
Abstract
No contexto da transnacionalização da economia e da constituição da sociedade informacional, inovações tecnológicas revolucionam a comunicação, a sociabilidade e as cidades, alterando-lhes as configurações espaciais, a dinâmica urbana, o acesso à cultura e aos equipamentos. A cidade capitalista, e a brasileira, principalmente, continua a apresentar velhas questões sociais: desigualdades, segregação e pobreza numa dialética da exclusão/inclusão sociais. PALAVRAS-CHAVE: cidade, sociedade urbana, desigualdade, exclusão social, questão urbana URBAN SOCIETY: inequalities and social exclusions Maura Pardini Bicudo Véras In the context of transnationalisation of economy and constituion of na information society, technological innovations, revolutionise communications, sociability and cities, changing their spatial shape, the urban dynamics, the acess to culture and equipments. Nevertheless, the capitalist city – the brazilian also – keeps on presenting old social issues: social spatial inequalities, segregation, poverty in the dialetic of social exclusion/inclusion. KEY WORDS: City, urban, society, inequality, social exclusion, urban issue SOCIÉTÉ URBAINE: inegalitte et exclusions sociales Maura Pardini Bicudo Véras Dans le contexte de la transnationalisation de l’économie et da la constitution de la société informationnelle, des innovations technologiques révolutionnent la communication, la sociabilité et les villes, en les altérant les configurations spatiales, la dynamique urbaine, l’accès à la culture et aux équipements. La ville capitaliste, et surtout la ville brésilienne, continue à présenter des vieilles questions sociales: des inégalités, de la ségrégation et de la pauvreté dans une dialectique de l’exclusion/ inclusion sociales. MOTS-CLES: Ville, société urbaine, inégalité, exclusion sociale, question urbaine Publicação Online do Caderno CRH: http://www.cadernocrh.ufba.br
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.000 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".