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Record W7132288938

ATRenew: How to Pursue Future Growth

Meng 芮萌, 朱琼, 刘心洁

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCEIBS Institutional Repository · 2023
Typeother
Language
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsGovernment (linguistics)Work (physics)Production (economics)Field (mathematics)Agency (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

如何用数字化手段打造一个高效且低成本的循环经济平台?万物新生案例回答了这个问题。万物新生的创业使命是“让闲置不用,都物尽其用”。它创建于2011年,从二手3C全场景回收平台爱回收起步,2017年打造了连接二手买家和卖家的B2B平台拍机堂,2019年合并了大股东京东旗下的二手交易平台拍拍,形成了“C2B+B2B+B2C”的闭环平台。在打造平台的过程中,万物新生将传统二手交易极具个性化的过程进行了标准化处理,制定了针对回收商品(手机)的质检工艺和流程标准、品质等级划分标准,打造了基于等级标准和其他大数据信息的C2B定价模型和B2B定价模型,并建立了“B2B定价+竞价”的交易机制,同时,还打造了“非标二手电子产品自动化输送、质检、分拣和存储”流水线,包括自动化或半自动化检测设备和立体仓库,布设了服务整个闭环的运营中心和供应链资源,这些动作旨在赋能平台合作伙伴并实现商品循环价值最大化。就在万物新生不断成长时,综合二手交易市场的头部企业开始发力3C回收市场。面对这样的竞争,万物新生要想持续做大,未来应该聚焦已有品类发展,还是应该积极开拓多品类发展?万物新生管理层正在讨论这个问题。

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), 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: Other
Teacher disagreement score0.099
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.094

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 head0.011
GPT teacher head0.230
Teacher spread0.220 · 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

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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