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Record W2774861488 · doi:10.37693/pjos.2017.8.16989

Annuntiatio Domini: Metaphoric conceptualization and gesture analysis in painted representations of the Annunciation

2017· article· en· W2774861488 on OpenAlexvenueno aff
Fabio Indìo Massimo Poppi, Peter Kravanja

Bibliographic record

VenuePublic Journal of Semiotics · 2017
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsnot available
Fundersnot available
KeywordsGestureConceptualizationMetaphorGratitudeLinguisticsPaintingSurpriseArtPsychologyAestheticsCommunicationVisual artsPhilosophySocial psychology

Abstract

fetched live from OpenAlex

In this article, we analyze ten artistic paintings of the Annunciation ranging from the XV century to the XX century in order to describe how the interaction between pictorially represented gestures and other pictorial elements allows them to convey more abstract meanings. Applying a historical approach to the gestures expressed by Mary, we show how — despite the different artistic approaches and sensitivities — her hand gestures always have a primary importance in conveying the meanings of PRUDENCE, CAU¬TION, FEAR, SURPRISE, CONCERN and GRATITUDE. We show how such gestures can be related to ordinary linguistic expressions that present analogous meanings. It is thus shown how gestural metaphor may interact with other modalities in pictorial representations.

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)0.002
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: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.007
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.320
Teacher spread0.291 · 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

Citations7
Published2017
Admission routes1
Has abstractyes

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