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Record W2766760436 · doi:10.19044/esj.2017.v13n30p314

Woolenization of Jute Fibre

2017· article· en· W2766760436 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Scientific Journal ESJ · 2017
Typearticle
Languageen
FieldMaterials Science
TopicTextile materials and evaluations
Canadian institutionsHog Administrative Marketing Services (Canada)
Fundersnot available
KeywordsWoolMarket sharePulp and paper industryMaterials scienceComposite materialMathematicsBusinessEngineering

Abstract

fetched live from OpenAlex

Once upon a time, Jute was called the golden fibre of Bangladesh. Due to some problems and growth of modern technology, the market share of jute has decreased. In this paper, the effect of Woolenization of jute fibre was described. It also shows how the physical and chemical properties of jute have been changed by alkali-treatment as well as its structure. It was demonstrated that this kind of treatment leads to several changes in its structure which has turned to a near wool structure. These works are done by different concentrations of different alkalis. Finally, 15% NaOH treatment of jute show maximum woolenized properties where we obtain softened and swollen jute. Conclusively, we have made some other products from woolenized jute fibres such that if introduced into our world market, it can increase the market share of jute fibre.

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.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.211
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.044
GPT teacher head0.296
Teacher spread0.251 · 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