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Record W7132560608

Opple: Disruptive Change Facing LED, Turning Left or Right?

2013· other· W7132560608 on OpenAlexaff
Liang Dong, Leiping Xu, Weiru Chen

Bibliographic record

VenueCEIBS Institutional Repository · 2013
Typeother
Language
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsDisruptive technologyAgency (philosophy)Perspective (graphical)Work (physics)
DOInot available

Abstract

fetched live from OpenAlex

“打造全球化照明企业,成为中国照明领袖品牌”是欧普照明的宏伟愿景,至 2012 年9 月30 日,欧普照明已占有中国照明市场3%-5%的份额。然而,随着LED技术日益普及,全球照明行业格局正经历着巨大的变革,这对快速发展的欧普照明的企业体系和内部组织都带来了新的挑战。欧普总裁周女士,面对欧普的未来,陷入了一个两难境地——欧普是应该右弯(个性化导向的多样产品与设计延伸)——“更加注重家庭用户的多样需求并积极发展渠道引导消费的能力”,还是应该左弯(以批量生产为基础的标准化定位)——“利用与继续发展自身已有的大规模制造能力并注重开发户外、工业、商业等大用户”。围绕了这个抉择,本案例对照明产业的价值链与市场细分进行了剖析,针对欧普的优势,提出了欧普未来的战略选择的考虑。

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)0.005
metaresearch head score (Gemma)0.014
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: Other · Consensus signal: Other
Teacher disagreement score0.020
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0080.013
Scholarly communication0.0150.012
Open science0.0010.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0200.002

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 head0.031
GPT teacher head0.273
Teacher spread0.242 · 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
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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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