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Record W2485600657 · doi:10.1177/0160449x07301657

Virginia Is for Business

2007· article· en· W2485600657 on OpenAlexaff
Michael J. Dennis

Bibliographic record

VenueLabor Studies Journal · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFiscal Policies and Political Economy
Canadian institutionsAcadia University
Fundersnot available
KeywordsIdeologySubsidyProsperityEnthusiasmConservatismNeoliberalism (international relations)LegitimacyPolitical economyEconomicsEconomyMarket economyPolitical scienceEconomic growthPoliticsLaw

Abstract

fetched live from OpenAlex

According to business pundits of the 1990s, the United States had finally liberated itself from the shackles of an Old Economy. Technology, entrepreneurialism, and the reduction of social regulations promised to restore American economic competitiveness. Nowhere else in the United States did this ideology achieve greater legitimacy than in the American South, where traditional southern conservatism merged with corporate neoliberalism to produce a potent ideological compound. Despite the enthusiasm for the New Economy, the driving force of public policy in the region had a decidedly Old Economy tack to it. At the center of economic development strategy was the willingness to use huge subsidies to lure mobile corporations to invest. The corporate subsidies program reflected the key assumptions of the New Economy ideology. Despite the overheated claims, the strategy failed to deliver freedom or prosperity to southern workers.

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)0.000
metaresearch head score (Gemma)0.003
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.732
Threshold uncertainty score0.382

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0090.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.7320.593

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 head0.051
GPT teacher head0.305
Teacher spread0.254 · 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 designNot applicable
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
Published2007
Admission routes1
Has abstractyes

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