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Record W1539525220

A imagem: signo, objecto, performance

2006· article· pt· W1539525220 on OpenAlexaff
Catherine Saouter

Bibliographic record

VenuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2006
Typearticle
Languagept
FieldArts and Humanities
TopicSemiotics and Representation Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

As imagens figurativas fazem parte dos inúmeros objectos oferecidos e produzidos pela cultura, que contribuem para formular o modo como compreendemos o mundo e o modo como manifestamos essa compreensão. Mediadoras de representações (Frege, 1972 [1892]), as imagens figurativas remetem tanto para um mundo material, enquanto ocorrências tangíveis, quanto para um mundo conceptual, enquanto formulações semióticas. As expressões visuais, como as expressões verbais, são configurações que dispõem do reservatório enciclopédico oferecido pela cultura, em função de uma experiência do mundo perpetuamente renovada. Apresenta-se um exercício sobre a imagem figurativa enquanto signo, enquanto objecto e enquanto performance comunicacional. Palavras-Chave: Imagem; signo; performance; comunicação.Abstract Visual images are objects produced by and made available within culture, and they condition to the ways we understand the world and the ways we express our understanding of the world. As images mediate our representations (Frege, 1972 [1892]), they refer both to a material world (as tangible events) and to a conceptual world (as semiotic formulations). Visual expressions, like verbal expressions, are configurations that use the cultural encyclopaedic reservoir, manipulating a permanently renewed experience of the world. The article develops an exercise about images as signs, semiophores and communicational performances. Keywords: Image; sign; performance; communication.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.008
Scholarly communication0.0090.009
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0290.007

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 head0.089
GPT teacher head0.375
Teacher spread0.286 · 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 designNot applicable
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
Published2006
Admission routes1
Has abstractyes

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