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Record W7132344009

Kane Top: Explorations in Supply Chain Sustainability

2022· other· W7132344009 on OpenAlexaff
Qi Wang 王琪, 何今宇, 刘耿

Bibliographic record

VenueCEIBS Institutional Repository · 2022
Typeother
Language
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsSupply chainSustainabilityChain (unit)Supply chain management
DOInot available

Abstract

fetched live from OpenAlex

本案例介绍了中型企业勤拓制衣的可持续性发展探索。勤拓为世界知名的服装品牌代工,也具备一定的设计能力。2018年起,创办人尤红言觉察到可持续时尚的大趋势,推动企业向可持续发展战略转型,并促使产业链上下游的合作企业践行同样的理念。 与此同时,尤红言启动了供应链管理的数字化转型,以及自创品牌的尝试,以加强可持续性能力建设,和丰富可持续性的实践。 勤拓的可持续发展转型获得阶段性成功,得到社会和行业的认可,但是在2020年,受到内外双重挑战:从内部看,勤拓以可持续发展价值观筛选客户,出现了一个自我设限的发展瓶颈;从外部看,新型冠状病毒引发的肺炎疫情在全球爆发,原料端、市场端都出现了不利局面。 尤红言不得不接受可持续性材料使用率倒退的事实,也尝试通过创立“绿色”品牌来开辟可持续发展的新战场,可是这个新领域充满了不确定性,从行业看,日益多样化的可持续时尚商业模式,使勤拓面临着更多的选择和挑战。

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)0.011
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 score0.024
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.005
Science and technology studies0.0070.014
Scholarly communication0.0150.021
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0180.001

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 head0.012
GPT teacher head0.252
Teacher spread0.240 · 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
Published2022
Admission routes1
Has abstractyes

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