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Record W2561732847 · doi:10.5539/mas.v11n1p253

Role of Iranian Traditional Needlework in People's Social and Family Life: A Study of Pateh Embroidery in Kerman

2016· article· en· W2561732847 on OpenAlexvenueno aff
Fattaneh Jalal Kamali, Batool Hassani Sa'di

Bibliographic record

VenueModern Applied Science · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
Fundersnot available
KeywordsClothingWeavingTextileThe RenaissanceSocial history (medicine)Social lifeVisual artsHistorySociologyArtSocial scienceArt historyEngineeringArchaeologyMedicine

Abstract

fetched live from OpenAlex

The aim of this study is to investigate the role of Iranian traditional needlework in people's family and social life with an emphasis on the art of Pateh embroidery. In this article, the history of textile industry, the history of clothes, different sewing styles and how they have been influenced by each other, are studied. According to the "History of Iranian Textile Industry", a book written by Mehdi Beheshtipour, textile industry in Iran dates back to 7000 years ago.Tabari book of history states that this industry goes back to 4000 years ago. Excavations in Shoosh show that burlap weaving, silk weaving and embroidery were forms of art at the time of JamsheedPishdadi. Herodotus says that Xerxes wore embroidered clothes. Marco Polo refers to the art of Kerman's Pateh embroidery in his travelogue. Qajar era is called the renaissance of Iranian needlework. Different styles of needlework have been investigated in previous practical studies with reference to the regionswhere they are common and how they are used. Pateh embroidery is considered as a traditional art in Kerman. This form of needlework has been paid attention to since 1906 from economic, social and cultural perspectives and studied as a profession that can meet people's financial and aesthetic needs.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.804
Threshold uncertainty score0.231

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.051
GPT teacher head0.226
Teacher spread0.175 · 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 designObservational
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
Published2016
Admission routes1
Has abstractyes

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