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Record W7132391454

“淘品牌”AK服装逆袭

2017· article· W7132391454 on OpenAlexaff
Dongsheng Zhou, Ziqian Zhao

Bibliographic record

VenueCEIBS Institutional Repository · 2017
Typearticle
Language
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsCentre Casa
Fundersnot available
KeywordsProcess (computing)Identification (biology)Product (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

经历了早期大跃进式成长的淘品牌,现在除了靠网红,还有哪些办法可以想?从AK服装的案例中,可以看到,今天的顾客尤其是年轻顾客,购买一件产品,认的是品牌,至于线上还是线下,已经不重要,给客户创造价值才是根本。经过早期野蛮生长的"淘品牌",从2012开始,却大多陷入了危机,商家们各显神通,依靠网红、打价格战、追逐流行……忙得不亦乐乎,但收效甚微,一批一批的淘品牌在大浪淘沙中倒下。

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), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.830
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.229
Teacher spread0.215 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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
Published2017
Admission routes1
Has abstractyes

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