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Record W4386471486 · doi:10.1017/9781009206471

Virtue Capitalists

2023· book· en· W4386471486 on OpenAlexaboutno aff
Hannah Forsyth

Bibliographic record

VenueCambridge University Press eBooks · 2023
Typebook
Languageen
FieldSocial Sciences
TopicPolitical and Economic history of UK and US
Canadian institutionsnot available
Fundersnot available
KeywordsVirtueMoralityAllianceMiddle classPolitical scienceProfit (economics)SociologyLawEconomics

Abstract

fetched live from OpenAlex

Virtue Capitalists explores the rise of the professional middle class across the Anglophone world from c. 1870 to 2008. With a focus on British settler colonies – Canada, Australia, New Zealand and the United States – Hannah Forsyth argues that the British middle class structured old forms of virtue into rapidly expanding white-collar professional work, needed to drive both economic and civilizational expansion across their settler colonies. They invested that virtue to produce social and economic profit. This virtue became embedded in the networked Anglophone economy so that, by the mid twentieth century, the professional class ruled the world in alliance with managers whose resources enabled the implementation of virtuous strategies. Since morality and capital had become materially entangled, the 1970s economic crisis also presented a moral crisis for all professions, beginning a process whereby the interests of expert and managerial workers separated and began to actively compete.

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)0.001
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 score0.021
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0040.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.005

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 head0.030
GPT teacher head0.227
Teacher spread0.196 · 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

Citations9
Published2023
Admission routes1
Has abstractyes

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