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Record W3173355091 · doi:10.32370/ia_2021_06_12

Image as aPhilosophical Artifact:J. Derrida's Concept in the Context of Modern Visual Culture

2021· article· en· W3173355091 on OpenAlexvenueno aff
Victoria Solomatova

Bibliographic record

VenueIntellectual Archive · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicVisual Culture and Art Theory
Canadian institutionsnot available
Fundersnot available
KeywordsDeconstruction (building)PremiseContext (archaeology)EpistemologyMeaning (existential)Sign (mathematics)Visual rhetoricAestheticsSociologyMirroringPhilosophyLinguisticsCommunicationRhetoricHistoryMathematics

Abstract

fetched live from OpenAlex

The article is devoted to the study of the ideas of the French philosopher, esthetician and literary critic J. Derrida, in particular the theory of sign and the concept of deconstruction (understanding by means of breaking the stereotype or inclusion in a new context), considered in the context of modern visual culture. Art. in the context of this concept.It has been found that in modern visual culture, the use of the concept of deconstruction is based on the premise that meaning is constructed in the process of vision (i.e. reading a visual text), and the usual notion of a certain image is trivial (devoid of depth) or imposed by its author. Accordingly, only provocation can initiate thought and release the hidden meanings of the visual image.Visual deconstruction does not provide a final analytical judgment about the image, but only calls it into question, transforming it from a state of structure into a game of values that supports the abutment in the middle of it.It is noted that further research and development of deconstruction techniques in this context will contribute to the development of modern visual discourse.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.008
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0060.044
Scholarly communication0.0080.007
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.029
GPT teacher head0.276
Teacher spread0.247 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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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