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Record W2794156161 · doi:10.1215/00182702-4335069

The Political Economy of Progress: John Stuart Mill and Modern Radicalism by Joseph Persky

2018· article· en· W2794156161 on OpenAlexaffabout
Samuel Hollander

Bibliographic record

VenueHistory of Political Economy · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPolitical radicalismPoliticsMillIconEconomic historyHistoryArt historyPolitical scienceLawComputer scienceArchaeology

Abstract

fetched live from OpenAlex

Book Review| March 01 2018 The Political Economy of Progress: John Stuart Mill and Modern Radicalism by Joseph Persky The Political Economy of Progress: John Stuart Mill and Modern Radicalism. By Persky, Joseph. Oxford: Oxford University Press, 2016. xx, 272 pp. $78.00. Samuel Hollander Samuel Hollander University of Toronto Search for other works by this author on: This Site Google History of Political Economy (2018) 50 (1): 221–227. https://doi.org/10.1215/00182702-4335069 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Samuel Hollander; The Political Economy of Progress: John Stuart Mill and Modern Radicalism by Joseph Persky. History of Political Economy 1 March 2018; 50 (1): 221–227. doi: https://doi.org/10.1215/00182702-4335069 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search Books & JournalsAll JournalsHistory of Political Economy Search Advanced Search The text of this article is only available as a PDF. Copyright © 2018 Duke University Press2018 Article PDF first page preview Close Modal You do not currently have access to this content.

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)0.006
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0010.004
Scholarly communication0.0040.006
Open science0.0010.001
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0100.005

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 head0.034
GPT teacher head0.293
Teacher spread0.259 · 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
Published2018
Admission routes2
Has abstractyes

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