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Record W2115055213 · doi:10.4471/hse.2015.03

Simon-Nicolas-Henri Linguet’s Eighteenth-Century Perspectives on the Intimate Relationship between a Free Market Economy, the Rise of the “Big Government,” and the Creation of a Police State

2015· article· en· W2115055213 on OpenAlexaff
Mircea Platon

Bibliographic record

VenueSocial and Education History · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Theory and Influence
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPoliticsFree marketWelfare stateState (computer science)HumanityHumanismPolitical economySociologyEconomyLawPolitical scienceEconomics

Abstract

fetched live from OpenAlex

As a lawyer, economist and journalist of European stature, Linguet argued that the political and economic ideas advocated by the “economic philosophes,” or the physiocrats, were bound to lead to a dangerous revolution undertaken without a clear idea of the true principles of a new and better society. Linguet's opposition to the physiocrats and his support for the guilds stemmed from a radical populism that prompted him to accuse the philosophes and the physiocrats of talking about humanity while neglecting the sufferings of real human beings. Linguet warned during the 1770s and 1780s that the systematic laissez-faire theories of the philosophes and Turgot's suppression of the guilds would dissolve the traditional ties of society and lead to a conflict between a mass of unemployed people and an oppressive police state. Linguet argued that only a politics of subsistence, welfare, and preventative nurture would prevent the coming revolution. Linguet's clashes with the physiocrats would prompt him to develop a theory of underconsumption as well as a historicist understanding of political economy and of the legal system that would have a deep influence upon the history of humanist economy.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0060.018
Scholarly communication0.0060.004
Open science0.0010.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.044
GPT teacher head0.296
Teacher spread0.252 · 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 designTheoretical or conceptual
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
Published2015
Admission routes1
Has abstractyes

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