MétaCan
Menu
Back to cohort
Record W2512627034 · doi:10.5539/ach.v8n2p167

Communication of Tactile Experiences in Handcraft Decorations

2016· article· en· W2512627034 on OpenAlexvenueno aff
Hee young Kim, Jisoo Ha

Bibliographic record

VenueAsian Culture and History · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
Fundersnot available
KeywordsClothingPleasurePsychologyEmpathyLaundryAestheticsVisual artsSocial psychologyEngineeringArtPolitical science

Abstract

fetched live from OpenAlex

<p class="1Body">This article addresses the important role of tactile experiences in fashion design and consumption focusing on handcraft decorations through examining various experiences of consumers and designers in Korea. In-depth interviews are conducted based on the preliminary literature reviews and questionnaire survey and 20 general fashion consumers and 20 fashion designers participate in the interviews. Firstly, we check their recognitions about handcraft decorations on clothing, which are one of the most representative examples of handwork in fashion design. To find out what can be induced from tactile experiences of handcraft decorations, various pleasures with their handcraft decorated clothes are separately understood in two different situations of the process of making and touching. According to the designers’ interview result, it is possible to form a sympathetic relationship between designers and materials as communicating each other through the tactile experience as using hands. In this procedure, creators come to be immersed more into the work and feel the pleasure of labour. In the consumers’ cases, tactile observation as touching the handcraft decorations stimulus sensible pleasures exploring the materials and also makes them understand the creators’ endeavour and time investment on the decorated clothes and feel empathy to them.</p>

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.823
Threshold uncertainty score0.999

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)0.0020.000

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 head0.219
Teacher spread0.191 · 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.

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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueAsian Culture and HistorySame topicFashion and Cultural TextilesFrench-language works237,207