MétaCan
Menu
Back to cohort
Record W7132366591

Xueersi: Opportunities and Puzzles Going from Offline to Online

2015· other· W7132366591 on OpenAlexaff
S. Li, Rui Li, Liang Dong, Leiping Xu

Bibliographic record

VenueCEIBS Institutional Repository · 2015
Typeother
Language
Field
Topic
Canadian institutionsCentre Casa
Fundersnot available
KeywordsOnline and offlineThe InternetKey (lock)
DOInot available

Abstract

fetched live from OpenAlex

2013年4月23日,学而思发布了2013财年财报1,财报显示2013财年,学而思实现净营收2.259亿美元,同比增长27.3%;营业利润3140万美元,同比增长49.4%。值得关注的是,学而思的收入中,线上业务(学而思网校 www.xueersi.com)的营收占比从2.7%左右提高到3.2%,增长速度与并不低于学而思整体增长率,但是学而思创始人、CEO张邦鑫先生还是表示了对线上业务的忧虑:线上业务没有实现互联网式的爆发性增长,是否因为线上产品不能满足用户的需求,应该在哪些方向上取得创新突破?学而思在线下通过口碑营销大获成功,复制到线上业务却没有获得预期的效果,在营销方法上又需要哪些创新?

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.040
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.001
Science and technology studies0.0010.003
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.005

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 head0.073
GPT teacher head0.275
Teacher spread0.202 · 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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueCEIBS Institutional RepositoryFrench-language works237,207