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Um atlas contra o vento

2011· article· pt· W2063616754 on OpenAlexaff
Raúl Antelo

Bibliographic record

VenueAlea Estudos Neolatinos · 2011
Typearticle
Languagept
FieldSocial Sciences
TopicUrban and sociocultural dynamics
Canadian institutionsNational Museum of Fine Arts of Quebec
Fundersnot available
KeywordsHumanitiesArtCartographyGeography

Abstract

fetched live from OpenAlex

Este artigo aborda duas exposições, Atlas. Como llevar el mundo a cuestas?, cujo curador foi Georges Didi-Huberman e Imágenes e Historias. Argentina 1848-2010, curada por Diana Wechsler. Am-bas consideram a produção artística como fruto de montagem, em que objetos, espaços e tempos podem ser reconfigurados. Am-bas também encaram a experiência da imagem com base não na ordem cronológica e logocêntrica, como no historicismo clássico, mas a partir do reconhecimento da densidade de sentidos da imagem, bem como de seu poder expressivo, capaz de desestabilizar paradigmas epistemológicos da história da arte.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.056
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0050.005
Scholarly communication0.0090.007
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0560.014

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 head0.062
GPT teacher head0.284
Teacher spread0.222 · 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 designQualitative
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

Citations3
Published2011
Admission routes1
Has abstractyes

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