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Corporate Retailing

2017· other· en· W4248948985 on OpenAlexaff
Shuguang Wang

Bibliographic record

VenueInternational Encyclopedia of Geography · 2017
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse academic and cultural studies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsBusinessGlobalizationRetail industryRetail tradeRetail marketCommerceProcess (computing)MarketingMarket economyEconomic geographyIndustrial organizationEconomics

Abstract

fetched live from OpenAlex

The retail sector in a typical capitalist market economy consists of diverse types of retailers. Some of them are corporate retailers, which operate multiple stores in the form of a chain. Others are independent retailers with a single store location. Corporate retailers can be further differentiated as publicly traded companies and privately owned chains. Relative to independent retailers, corporate retailers are small in number, but they command the largest share of the consumer market. In recent decades, a series of revolutionary changes have taken place in the retail industry worldwide amid the process of globalization of the world economy. The new trends and characteristics are embodied mainly by the corporate retailers, and have led to the retheorization of the orthodox retail geography and the emergence of a new retail geography with a major paradigm shift. As the retail planning process becomes more complex, so too does the role of retail geographers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.166
Threshold uncertainty score0.555

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0030.002
Scholarly communication0.0130.005
Open science0.0010.004
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.1660.078

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 head0.033
GPT teacher head0.228
Teacher spread0.195 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2017
Admission routes1
Has abstractyes

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