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Record W2093728522 · doi:10.1177/0096144203255926

Shopping for Recovery

2003· article· en· W2093728522 on OpenAlexaff
Sarah Elvins

Bibliographic record

VenueJournal of Urban History · 2003
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAmerican History and Culture
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPledgeConsumption (sociology)CapitalismDepression (economics)Power (physics)FaithConsumerismGreat DepressionBusinessMarket economyPolitical economyPolitical scienceEconomicsSociologyLawPoliticsSocial science

Abstract

fetched live from OpenAlex

During the early years of the Great Depression, merchants and civic leaders in both Buffalo and Rochester, New York, tried to use the power of private consumption to end the economy's woes. Through a special sales campaign and a coordinated pledge drive, it was hoped that citizens could “buy their way out” of the crisis. Although these initiatives ultimately did not end the depression, they reveal a commitment to local solutions to economic problems and an overwhelming faith in consumption even at a time when consumer capitalism was sorely tested.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.300
Threshold uncertainty score0.999

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0090.002
Scholarly communication0.0070.005
Open science0.0010.006
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.3000.143

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 head0.021
GPT teacher head0.187
Teacher spread0.166 · 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.

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

Citations15
Published2003
Admission routes1
Has abstractyes

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