TERRITORIALIDADES INTERSTICIAIS NO ESPAÇO-TEMPO DA METRÓPOLE CONTEMPORÂNEA (Interstitials territorialities in the space-time of the contemporary metropolis)
Bibliographic record
Abstract
Este trabalho se propõe a uma análise da territorialidade na metrópole sob os imperativos da racionalidade capitalista e do mundo da mercadoria. Este percurso remete o pensamento às idéias de apropriação e de uso do espaço. Apresenta-se como um estudo de caso o bairro de Santa Tereza, localizado na Região Leste da cidade de Belo Horizonte, Minas Gerais. A perspectiva que se abre sobre a cidade, e a metrópole, é a de uma geografia em movimento, que valoriza o lugar e suas possibilidades à vida humana. Palavras-chave: territorialidade; apropriação; uso do espaço; lugar; bairro de Santa Tereza (Belo Horizonte, Minas Gerais). ABSTRACT This work aims at an analysis of the territoriality in the metropolis under the imperatives of the capitalist rationality and the world of the merchandise. This route sends the thought to the ideas of appropriation and use of the space. The quarter of Santa Tereza is presented as a case study, located in the East Side of the city of Belo Horizonte, Minas Gerais. The perspective which is open over the city and the metropolis is that of a geography in movement, which values the place and its possibilities concerning the human life. Keywords: territoriality; appropriation; use of the space; place; quarter of Santa Tereza (Belo Horizonte, Minas Gerais). DOI: 10.5654/actageo2010.0407.0003
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".