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Record W80923127 · doi:10.4429/j.arart.2010.01.03

Arianna, Medea e le altre. Astuzia al femminile e arte greca

2010· article· it· W80923127 on OpenAlexaboutno aff
Marco Giuman, Elisabetta Pala

Bibliographic record

VenueUNICA IRIS Institutional Research Information System (University of Cagliari) · 2010
Typearticle
Languageit
FieldSocial Sciences
TopicClassical Antiquity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanitiesIconographyArt history

Abstract

fetched live from OpenAlex

Nel mondo del mito greco la definizione funzionale di un personaggio appare sempre intimamente connessa alla sua per- cezione etica e alla sua collocazione nel quadro sociale e culturale. È il caso di personaggi come Arianna, Medea o Circe, le cui azioni si proiettano sempre nel mondo femminile dell’oikos. Nella prima parte del contributo Marco Giuman analizza i modi attraverso i quali il concetto di mētis femminile sia adattato dai repertori dell’arte greca alle figure di eroine e come questo sia tradotto in senso iconografico. La seconda parte dell’articolo, curata da Elisabetta Pala, consiste in un approfondimento della figura di Arianna, e più precisamente sui suoi strumenti di mētis per eccellenza: corona e gomitolo. Da un raffronto dei resoconti delle fonti letterarie e delle testimonianze iconografiche tra VII e V secolo a.C. si cerca di stabilire un’anteriorità cronologica tra i due oggetti, nonché le rispettive funzioni e valenze simboliche. In the Greek mythical world the functional definition of a protagonist seems strictly connected with his ethical and cultural perception in the society. That is the case of Ariadne, Medea or Circe, whose actions are always linked to the feminine concept of oikos. In the first part of this work Marco Giuman analyses the ways through which the feminine idea of mētis is iconographically adapted by Greek artists to the mythical heroines. The second part of the paper, by Elisabetta Pala, deepens on Ariadne’s character, more precisely on her own metis-tools: the crown and the thread. Comparing literary sources and iconography from VII to V century B.C. the author tries to establish which object comes earlier, as well as their respective functions and symbolic values.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.922
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0050.006
Scholarly communication0.0000.004
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.002

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 head0.067
GPT teacher head0.323
Teacher spread0.256 · 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; both teacher heads agree on what is shown here.

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
Published2010
Admission routes1
Has abstractyes

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