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Record W6907853639 · doi:10.24411/2225-1820-2019-00009

Aristotle, sartorial signs, polyvalence and post-modern meanings: from man-sign to a woman-sign

2019· article· en· W6907853639 on OpenAlexaff

Bibliographic record

VenueCyberDOI · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSign (mathematics)Symbol (formal)Context (archaeology)DiscernmentIslamDoctrineBattlePoliticsFace (sociological concept)

Abstract

fetched live from OpenAlex

According to Aristotle, prior to becoming a social and political animal, man had been a sign-producing animal. Millennia later, Charles Peirce would complement Aristotle’s theory by having introduced the concept of a man-sign. The post-modern, 21st-century modified Islam has given birth to a new version – woman-sign. The current niqab wearers living in the West have widened the traditional semiosphere by causing a significant transformation of the former religious sartorial sign into a secular symbol of Otherness, Defiance and certain rejection of the West. A symbolic protest against the West within the boundaries of the West has been initiated by the current niqab-wearers who allegedly do it voluntarily. The Niqab tradition migrated from the territory of the strictly antiquated patriarchal control, having changed its meaning, potency and role in the 21st-century modern societies who hosted millions of migrants from the Middle East and Asia. This paper, relying on the Aristotelian doctrine of signs and facial semiosis, examines the process of decoding and usage of these sartorial signs since antiquity, i.e. the appearance of a veil, its varying meanings and deployment of veiling throughout history, in different times, traditions, and geographical territories. It alludes to the danger of misinterpreting the veil (niqab, burqa, chador, etc.) as a simple sartorial sign in the current context of the post-modern battle for “the right god” and the overall resurgence of the Religious in the secular postmodern societies.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.778
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.011
GPT teacher head0.247
Teacher spread0.236 · 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 teacher head, 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
Published2019
Admission routes1
Has abstractyes

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Same venueCyberDOISame topicIslamic Studies and HistoryFrench-language works237,207