DESIGUALDADES SOCIOECONÔMICAS BRASIL/CANADÁ: UM ESTUDO A PARTIR DOS EXTREMOS.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
O Brasil é, sob incontáveis aspectos e dimensões, um dos países com as mais graves desigualdades socioeconômicas do planeta. Considerando-se diversos indicadores, o Canadá está em situação diametralmente oposta: o país ocupa as primeiras posições de várias classificações internacionais, possuindo índices positivos invejáveis. Este estudo visa a demonstrar os resultados da pesquisa sobre países que apresentam características que os colocam em extremos opostos, mas, apesar disso, é possível identificarem-se alguns problemas comuns e algumas similitudes surpreendentes no que concerne às estruturas de posições de classe. Também será considerada a existência de uma certa incapacidade das Ciências Sociais em captar especificidades do “pólo riqueza” e do “pólo pobreza” e de suas relações. Résumé: Le Brésil est, selon d’innombrables aspects et dimensions, l’un des pays les plus inégalitaires au monde. Conformément à plusieurs indicateurs, le Canada est en position diamétralement opposée, occupant les premières places dans les rangs positifs internationaux. Dans la présente étude nous voulons démontrer les résultats d’une recherche qui porte sur deux pays qui présentent deux situations opposées mais que, malgré leurs différences extremes subissent des problèmes communs et possédent certaines similitudes surprenantes dans ce qui concerne la structure des positions de classe. La production sociologique dans les deux pays est marquée par l’existence d’un déficit explicatif sur les relations entre le pôle richesse et le pôle pauvreté.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it