Por dentro da quebrada: a heterogeneidade social de Ermelino Matarazzo e da periferia
Bibliographic record
Abstract
This research paper analyzes a peripheral district of the Eastern Zone of São Paulo -Ermelino Matarazzo.Observing a single district, the microsocial approach allows for the assessment of various phenomena that characterized the growth of the city of São Paulo such as industrialization, immigration, migration, lot divisions, irregular construction, and development of slums and how these phenomena resulted in the social segregation in the periphery.The paper discusses the symbolic value of the eastern periphery and the development of a spatial hierarchy in light of the education of its residents in order to discuss the local social diversity.In particular, the paper analyzes the heterogeneity of the district and its spatial hierarchies.The paper tests the hypothesis of the internal differentiation of Ermelino Matarazzo due to three distinct processes through which the district has passed since the installation of the first industrial plant in the 1940s.Three regions were proposed: the residential lots that were characterized by urbanization via regular and irregular housing developments until the 1970s; the occupied region formed by the emergence of slums beginning in the 1970s; and, lastly, the builder region consisting of real estate developers selling houses built starting in the 1980s.One result of the social diversity can be observed by how the public and private schools were spatially distributed over the decades in Ermelino Matarazzo as their respective administrators favored one region or another.The survey utilizes statistics from the Municipal Government of São Paulo and its Secretariat of Education in addition to qualitative data derived from twenty interviews with long-time residents and a local leader and participatory observation of social movements in Ermelino Matarazzo.The paper also displays photos and maps.This study contributes to understanding how social cleavages emerge, how they take shape in local spaces, and how they are perceived symbolically by individuals.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".