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Record W2599610307 · doi:10.1177/0971945816665982

Knowing One’s Place

2017· article· en· W2599610307 on OpenAlexaff
Emily Hutchison

Bibliographic record

VenueThe Medieval History Journal · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsMount Royal University
Fundersnot available
KeywordsPoliticsResistance (ecology)Spanish Civil WarAutonomyIndependence (probability theory)NarrativeAgency (philosophy)SovereigntyPower (physics)Political economySociologyPolitical scienceExtension (predicate logic)AestheticsHistoryLawGender studiesSocial scienceArtLiterature

Abstract

fetched live from OpenAlex

Between April and July 1413, a large group of Parisians led the violent Cabochien Uprising. This revolt has been positioned primarily as an extension of civil war politics between the Burgundians and the Armagnacs. I argue that it was far more than that; it was a meaningful example of political resistance and an extraordinary event that nonetheless borrowed from everyday practices of civil autonomy and agency. In drawing from but moving beyond the civil war narrative, I examine the importance of urban spatial tactics, voice and violence in this rebellion. This approach enables us to discern what opportunities were available to early fifteenth-century Parisians to directly challenge their exclusion from politics, and to carve out a place of importance for their voices. Moreover, the same source material for the rebellion also illuminates the established systems, the spaces and the habits that empowered Parisians in the day-to-day. It was these conditions that provided the scaffolding for their rebellion, and they reveal strong tension between the king’s sovereign authority and his subjects’ autonomy. These complicated dynamics limited the king’s actual power in the streets, and suggest that Parisians could lay claim to more independence than we have previous considered.

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)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.043
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.016
Scholarly communication0.0100.009
Open science0.0010.005
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0430.012

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 head0.091
GPT teacher head0.248
Teacher spread0.157 · 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
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

Citations1
Published2017
Admission routes1
Has abstractyes

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