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Record W7132800577

The Blue Myth of Yanghe: From a Local Producer to a National Brand

2014· other· W7132800577 on OpenAlexaff
Weiru Chen, Yucong Sun

Bibliographic record

VenueCEIBS Institutional Repository · 2014
Typeother
Language
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsMythologyWork (physics)Subject (documents)Perspective (graphical)
DOInot available

Abstract

fetched live from OpenAlex

白酒是中国最为古老的产业之一,如何在传承中创新是目前白酒企业共同面对的挑战。作为已经有400年历史的老酒厂,江苏洋河由于产品老化、管理不善、分销不力,在20世纪90年代,公司开始走下坡路。2003年是洋河酒厂的一个转折点,公司上市了一款突破性的新产品“蓝色经典”。该产品具有绵柔的口感和现代文化的韵味,在接下来的十年中使洋河获得了爆炸性的增长。在2004到2011年间,洋河的销售收入从4.17亿元人民币增加到127.4元人民币,而净利润从1.5亿元人民币上升到40.2元人民币,两者的复合年均增长率分别为62%和123%。此外,洋河成为继白酒巨头茅台和五粮液之后年收入超过100亿元人民币的第三家白酒企业。洋河的蓝色神话的背后,是什么因素在支撑?洋河股份仅是昙花一现的市场营销神话还是持续创新的现代企业?洋河如何在二线白酒品牌阵营中脱颖而出,不断追赶与一线白酒品牌的差距?蓝色神话能否持续?

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.767
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.006
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.012

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 head0.009
GPT teacher head0.239
Teacher spread0.230 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2014
Admission routes1
Has abstractyes

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