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Fisionomia da cidade: Sorocaba - cotidiano e desenvolvimento urbano - 1890-1943

2008· dissertation· pt· W1887898190 on OpenAlexaff
Rogério Lopes Pinheiro de Carvalho

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldSocial Sciences
TopicUrban Development and Societal Issues
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsContext (archaeology)ModernityPeriod (music)Urban planningSociologyGeographyHistoryAestheticsPolitical scienceArtCivil engineeringArchaeologyLaw

Abstract

fetched live from OpenAlex

The purpose of this research is to create a social-cultural history about the city of Sorocaba, in the corresponding period between the decade of 1890, when industrialization is intensified in the city, and the first years of the decade of 1940.Therefore the object to be studied is the city of Sorocaba itself during this period; the challenge is also to reflect about the entrance and specificity of the city in the modernity flow, a historical process regulated by the transformation and intensification of the capitalistic relations in the country.Concerning this issue, I intend to investigate aspects of the urban development that took place in Sorocaba, so in order to think of the city as an artifact, it is crucial to study a few fundamental urban improvements, like the introduction of the water and drain system and the use of electricity, and the representations, impressions and perceptions elaborated in this context that interact with these transformations.The idea is to search for and grasp the physiognomy of the city.Such modifications are implemented by the local governing elites, which consequently build an image of the city that would become known as the "Manchester of São Paulo".Therefore, the aim is to analyze and historicize this symbolic construction, connecting it with other representations/ perceptions of the urbe, produced by several groups, segments and social classes in the daily routine, by this means the endeavor is to grasp the various practices, forms of sociability, that occur among different actors in the urban space as a consequence of the modifications that the city goes through during the observed period.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score0.423

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.049
GPT teacher head0.316
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2008
Admission routes1
Has abstractyes

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