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Record W2801581973 · doi:10.5539/ach.v10n2p27

The Future Design Process for Cultural Silver Jewelry Around the Communities of the Si Satchanalai Historical Park, Sukhothai

2018· article· en· W2801581973 on OpenAlexvenueno aff
Wilailak Choochuy, Jirawat Phirasant, Witiya Pittungnapoo

Bibliographic record

VenueAsian Culture and History · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topic3D Surveying and Cultural Heritage
Canadian institutionsnot available
FundersRoyal Golden Jubilee (RGJ) Ph.D. ProgrammeThailand Research Fund
KeywordsContext (archaeology)Participatory designProcess (computing)SociologyFocus groupCitizen journalismEngineeringArchitectural engineeringComputer scienceOperations managementArchaeologyHistoryWorld Wide Web

Abstract

fetched live from OpenAlex

The purpose of this research was threefold. The first objective was to analyze the community context and the existing design process for cultural silver jewelry around the communities of the Si Satchanalai Historical Park, Sukhothai Province. This was followed by the development of a future design process. Finally, an evaluation on the level of satisfaction with the new design process was conducted. The research instruments included an in-depth interview, a non-participatory observation, the focus group discussion, questionnaire, seminars and displays. The procedure of developing the future design process for cultural silver jewelry included: (1) finding solutions for problems, (2) creating new design concepts, (3) sketching, and (4) prototyping. The future new design process resulted in reducing the production costs. Evaluation of the future design process also involved several aspects: the features, the concept, and the prototyping. The findings confirmed the highest level of satisfaction on the silver jewelry as rated by the community sages for the Devious Collection at 95 per cent.

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)0.006
metaresearch head score (Gemma)0.004
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: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.042
GPT teacher head0.233
Teacher spread0.190 · 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
Published2018
Admission routes1
Has abstractyes

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