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Record W7132528435

The WeChat Ecosystem: Unleashing the Potential of the Long Tail to Stay Innovative

Guo 白果, 刘耿

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 · 2022
Typeother
Language
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsGovernment (linguistics)Key (lock)Context (archaeology)Work (physics)Perspective (graphical)
DOInot available

Abstract

fetched live from OpenAlex

本案例从两个层级描述了微信的商业生态系统:一是作为腾讯生态圈之一部分的微信生态圈,考察微信生态圈的外部关系;二是微信生态圈内部的合作伙伴,考察微信生态圈的内部关系。微信生态圈既保持了一定的渗透性,使内外部可以发生能力交换、资源共享、价值流动,又保持了一定的封闭性,使微信生态圈的独立性和独特性得以成立,使更合适微信生态圈的合作伙伴生长于其中。 从微信生态圈的外部看,微信生而肩负着腾讯的“开放”和“共享”战略的使命,以避免腾讯在QQ时代被广泛指责的垄断及由此带来的损害,微信生态圈在围绕着腾讯生态圈公转的同时,也在自转,两个生态圈在运转中相互赋能、同步壮大;从微信生态圈的内部看,微信通过产品设计、能力开放、资源导入、规则制定等方式,为圈内核心企业、用户、分发渠道、供应商、乃至竞争者等规划出合适的生态位,使之各归其位,引导资金、信息、流量等在新的价值网络上有序流动,通过价值兑现、利益交换实现自生、互生、共生。 为解决C端流量见顶的问题,2017年起,微信生态圈中开始TO B战略,但是,B端很快重蹈C端覆辙:流量越来越向头部企业集中。如何保持整个生态的创新性和它不断发展的平衡性,是微信的主要难题。

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.726
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.005
Science and technology studies0.0140.004
Scholarly communication0.0010.000
Open science0.0070.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.009
GPT teacher head0.227
Teacher spread0.218 · 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
Published2022
Admission routes1
Has abstractyes

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