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Record W7132650599

2021全球品牌战略与时尚产业白皮书:全球战略视角下的可持续时尚与年轻新消费

2022· other· en· W7132650599 on OpenAlexaff
Wang Qi, Jinyu He, 魏天天, Elaine LI, 李菁华, 薛文婷, Geng Liu, Frieda Wang, Hana ZHANG, Amber Xu, 刘秋婷, 李豆豆

Bibliographic record

VenueCEIBS Institutional Repository · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsProcess (computing)Identification (biology)Product (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

研究基金从消费者角度出发,设计问卷进行市场调研,了解消费者的环保消费习惯以及环保消费观念,探寻大众对于当下诸如体验经济、小众爱好、虚拟偶像等新消费领域中热点话题的真实想法。与此同时,研究基金从品牌、企业和平台端出发,针对可持续时尚话题携手上海时装周组委会、集结时尚产业链上的各方企业、政府代表召开了 “有才有料,循环共生⸺关于可持续时尚发展的探索”专题研讨会,并与开云集团、勤拓集团、乐象永续科技公司分别展开了有关可持续时尚的案例开发。此外,“中欧-开云第一届可持续创新加速营”也在中欧与开云集团的共同努力下得以成功举办。针对年轻力带来的新消费相关话题,研究基金联合瑞安新天地举办了“年轻消费力崛起下的时尚创新”论坛,并在论坛结束后对虚拟人行业展开了进一步的研究以及访谈工作。<br/>因此,本白皮书围绕中国消费者调研、可持续时尚、年轻新消费三大主题来进行编写,内容上涵盖了过去一年研究基金所完成的一份消费问卷研究报告、三篇中欧教学案例,以及研究基金联合上海时装周组委会、瑞安新天地所举办的两大论坛、和“中欧-开云第一届可持续创新加速营”等相关活动成果。

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient 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: Other
Teacher disagreement score0.049
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0650.015

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 head0.010
GPT teacher head0.231
Teacher spread0.221 · 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
Published2022
Admission routes1
Has abstractyes

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Same venueCEIBS Institutional RepositoryFrench-language works237,207