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Record W7093527477

DÖŞEMEALTI HALILARI

2022· article· tr· W7093527477 on OpenAlexaboutno aff

Bibliographic record

VenueDergiPark (Istanbul University) · 2022
Typearticle
Languagetr
FieldArts and Humanities
TopicCultural and Sociopolitical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWoolWeavingManufacturing processQuarter (Canadian coin)Handicraft
DOInot available

Abstract

fetched live from OpenAlex

Döşemealtı is a large district which consists of 23 villages at the skirts of the Taurus Mountains in north Antalya. Dosemealtı rugs are Kovanlık, Aşağıoba, Killik, Ekşili, Karataş, Karaveliler. Although there is no carpets being made for the last 30 years, those are the carpet manufacturing centers where the best examples of carpets are made and reached out today.Döşemealtı carpets are made of wool and they are being made on either warp-weighted or vertical weaving looms which are called workbench or weave loom. 30x30, 30x40, 40x50 are the most common dimensions of carpets in the sizes of prayer rugs, floor carpets, runners, quarter carpets.Commonly used motifs are Halelli, toplu, yıldızlı, kocasulu, dallı, akrepli, ambarlı, albaysuyu, deve ve terazi toplu motifs. In the historical process of Döşemealtı carpets, the most beautiful examples of the region are exhibited in other museums of our country, especially in Antalya Museum. In these museums, the examples of the private collectors and the carpet shops in Kaleiçi were identified and the carpets were promoted by explaining the technical, raw material, color and motif names.

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)0.000
metaresearch head score (Gemma)0.000
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: none
Teacher disagreement score0.071
Threshold uncertainty score0.238

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0710.020

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 head0.031
GPT teacher head0.183
Teacher spread0.152 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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