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Record W1966887098 · doi:10.1108/17557501311316806

Remembering “Aunt Emma”: small retailing between nostalgia and a conflicted past

2013· article· en· W1966887098 on OpenAlexaboutno aff
Jan Logemann

Bibliographic record

VenueJournal of Historical Research in Marketing · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicDecadence, Literature, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsModernization theoryOriginalityAuntNarrativeValue (mathematics)GermanSociologyQuarter (Canadian coin)EconomyHistoryAdvertisingSocial sciencePolitical scienceLawBusinessEconomicsQualitative researchArtLiteratureAnthropology

Abstract

fetched live from OpenAlex

Purpose This paper calls for a reconsideration of standard narratives regarding the role of small, independent retailers for twentieth‐century urban communities. The paper aims to discuss the issues. Design/methodology/approach Taking the German city of Bremen as an example, the paper problematizes the nostalgic treatment of independent “Aunt Emma” (or “mom‐and‐pop”) stores in Germany during the last quarter of the century, by recounting the often conflict‐laden history of small retailers within the urban community. It draws on primary documents from retail associations, the chamber of commerce, municipal administrations, as well as media coverage. Findings The romanticization of the corner grocer overlooked the often divisive role of small store‐keepers in the interwar years as well as the social considerations behind some forms of retail modernization. Originality/value Beyond the particular examples of Bremen or even Germany, the paper urges historians of modern retailing to critically analyze the everyday role shops and shopkeepers have played within their communities without at the same time embracing a market‐liberal narrative of retail modernization as a function of consumer demand.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.040
Scholarly communication0.0080.009
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.124
GPT teacher head0.384
Teacher spread0.260 · 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 designQualitative
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

Citations12
Published2013
Admission routes1
Has abstractyes

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