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Record W4386452332 · doi:10.5376/ija.2023.13.0007

Development and Trend Analysis of Modern Pearl Market

2023· article· en· W4386452332 on OpenAlexvenueno aff
Di Zhu, Wei Wang

Bibliographic record

VenueInternational Journal of Aquaculture · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsnot available
Fundersnot available
KeywordsPearlBusinessMarket developmentSustainabilityCommerceMarket shareCompetition (biology)Industrial organizationSustainable developmentMarket penetrationDigitizationMarketingEconomicsMarket economyGeographyEngineeringTelecommunicationsEcology

Abstract

fetched live from OpenAlex

Pearl is a natural gemstone widely used in jewelry and jewelry production, and its unique luster and texture make it a favorite in the fashion industry. The color, shape and size of pearls are different, so each pearl jewelry is unique. With the increasing demand of consumers for pearls, the pearl market is also developing. However, the pearl market is highly competitive, and brand building and innovation become the key. Market digitization and sustainability have also become important trends in the market. This review introduces the general situation of the current pearl market, explains the development and current situation of the pearl market, analyzes the market competition and trend, and looks forward to the development trend and change of the future market. It puts forward the aspects that the pearl brand needs to pay attention to, including innovation, digitalization, sustainable development and social responsibility, which provides a theoretical basis and feasible suggestions for the better development of the pearl industry and the pearl market.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.203
Threshold uncertainty score0.224

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.251
Teacher spread0.231 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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