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Record W2976725702 · doi:10.5539/ass.v15n10p36

Lamp Design from Wasted Fabric in Garment Industry

2019· article· en· W2976725702 on OpenAlexvenueno aff
Jong Boonpracha, Somsakul Jerasilp

Bibliographic record

VenueAsian Social Science · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPolysaccharides Composition and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsConverseProcess (computing)Product (mathematics)Environmentally friendlyManufacturing engineeringQuality (philosophy)EngineeringArchitectural engineeringComputer science

Abstract

fetched live from OpenAlex

Garment Industry is one of the industries that have dumped a large amount of wasted fabric at least 30-40 kg / month. Wasted fabrics are caused by the process of sewing, hydraulic pumping, and flaws on fabric. Those wastes were not being used for any further utilization. The current work investigated the use of Upcycling, a process to converse waste material to become a new product with higher quality and environmentally friendly value, as a conceptual model in the design process and examined its value for Upcycling product design by looking at a case study project. The concept from the Upcycling framework study was chosen for the investigation in order to evaluate a case study: a wasted fabric lamp. The findings suggest that Upcycling was helpful for improving and developing a wasted fabric lamp throughout the design process: including idea development, decision making, and implementation. Based on the evaluation of 3 design experts, it was found that a wasted fabric lamp is appropriate for using new materials or raw materials that do not cause problems for the environment.

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 score0.971
Threshold uncertainty score0.678

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.248
Teacher spread0.223 · 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
Published2019
Admission routes1
Has abstractyes

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