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Record W3132698139

Terror Without Virtue is Powerless

2020· article· en· W3132698139 on OpenAlexaffabout
Michelle La Vergne

Bibliographic record

VenueMacEwan University Student Research Proceedings · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsMacEwan University
Fundersnot available
KeywordsVirtueOathJacobinThe RepublicCivic virtueCultFrench revolutionLawSupreme courtAltarSociologyHistoryArt historyPolitical sciencePhilosophyTheology
DOInot available

Abstract

fetched live from OpenAlex

This paper will decode Maximilien Robespierre’s deistic cult, the Festival of the Supreme Being, a seemingly bizarre public ritual that was held at the height of the Great Terror on 20 Prairial Year II (June 1794). The Festival of the Supreme Being was staged by the Jacobin leader Robespierre, aided by the artist Jacques-Louis David, in an attempt to unify the French Republic’s citizenry during a particularly unstable time in the Revolution. Inspired by David's neo-classical masterpieces, such as The Oath of the Horatii, the festival used imagery from ancient Rome to emphasize the importance of civic virtue among a patriotic citizenry. A necessary counterpart to the Jacobins' campaign of terror against the Republic's myriad enemies, Robespierre's attempts to develop Parisians' civic virtue was designed to save the Republic by transforming passive subjects into active citizens. I will interpret this carefully orchestrated event as a parable of republican virtue by examining its use of classical symbols and the distinctive roles assigned to men, women and children in the festival. Presented in absentia on April 27, 2020 at Student Research Day at MacEwan University in Edmonton, Alberta. (Conference cancelled) Faculty Mentor: Kelly Summers Department: History

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)0.001
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 score0.009
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0060.026
Scholarly communication0.0060.004
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.133
GPT teacher head0.321
Teacher spread0.188 · 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
Published2020
Admission routes2
Has abstractyes

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