Bibliographic record
Abstract
Este artigo explora o impacto do governo liderado por Lula na mobilização dos movimentos sociais contra a fome no Brasil. Ele destaca como o legado político de Lula transcendeu as fronteiras da política tradicional, influenciando diretamente as organizações da sociedade civil e os esforços para combater a fome e a pobreza. O estudo examina as políticas implementadas durante os governos Lula (2003-2010), como o programa Fome Zero e o Bolsa Família, e como essas iniciativas contribuíram para fortalecer e energizar os movimentos sociais dedicados a essas questões. Além disso, o artigo analisa a relação entre o governo e os movimentos sociais, destacando tanto os momentos de cooperação quanto de conflito. No geral, destaca-se o papel significativo do governo Lula na promoção da mobilização e na conscientização sobre a fome e a desigualdade social, sinalizando um legado que vai além do âmbito político tradicional.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.037 | 0.007 |
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".