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Entre-Espaços | In-Between Spaces

2021· article· pt· W3210787599 on OpenAlexaff
Gabriela Nakagawa

Bibliographic record

VenuePonto-e-Vírgula Revista de Ciências Sociais · 2021
Typearticle
Languagept
FieldSocial Sciences
TopicUrban Development and Societal Issues
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

As cidades nos existem como camadas diversas, complexas, sobrepostas, entre objetos, artefatos e a indelével passagem do tempo. Mas que tempo? Onde e como sentimos o nosso tempo?Num mundo em que sua vocação informática e informacional produz e destrói, permanentemente, espaços e barreiras, a cidade reflete um tempo descompassado. O tempo sentido, o tempo ditado e o tempo marcado não se correspondem entre si, apesar de convergirem em encontros individuais de ações concretas e factuais/reais. Esse desalinho de tempos ocorre sobre um espaço físico já construído e habitado, portanto, é inevitável que se reflita também na paisagem urbana, na forma de assimetrias e distorções.Os registros deste ensaio pretendem revelar, ou omitir, os vestígios, ou evidências, dessas assimetrias; como rachaduras no tecido urbano, onde tempo e objeto ora se encontram, ora se perdem; expondo entre-espaços simbólicos dessa distorção de tempo-espaço, apontando a dissímil produção e consumo dos territórios na cidade. Ao mesmo tempo, desejar que haja sempre espaço para abrigar novas configurações, menos distorcidas.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.595
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.038
GPT teacher head0.312
Teacher spread0.274 · 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 teacher head, not a consensus.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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