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Record W2042425753 · doi:10.1215/10829636-2830004

Body Politics: The Criminal Body between Public and Private

2015· article· en· W2042425753 on OpenAlexaff
Nicholas Terpstra

Bibliographic record

VenueJournal of Medieval and Early Modern Studies · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPoliticsObject (grammar)FifteenthSociologyMiddle AgesAestheticsPeriod (music)The SymbolicSubject (documents)Public spaceHistoryLawArtPolitical sciencePhilosophyClassicsArchaeologyPsychoanalysisPsychology

Abstract

fetched live from OpenAlex

The theatrical capital punishments of the early modern period blurred distinctions between private and public and between object and subject in their treatment of the prisoner’s body. Where did these rituals originate? Italian confraternities devised distinctive forms of offering spiritual comfort to the condemned through the fourteenth and fifteenth centuries that mediated new uses of the prisoner’s body in civic religious ritual, in literature, and in the justice system itself over the sixteenth and seventeenth centuries. Almost all changes of the later period were incremental adaptations that deliberately projected a continuity of tradition, with place, space, and ritual carrying critical symbolic resonances. Considering how confraternal comforting rituals employed the prisoner’s body as a sacramental object, as an artistic and literary object, and as a political object can peel back the early modern layering of new religious, cultural, and political meanings in execution rituals. Using the two cities of Florence and Bologna as examples of the process, this essay demonstrates that the layerings did not develop in a clear sequence, but accumulated in a paradoxical interrelation governed by local political conditions.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.706
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.112
GPT teacher head0.283
Teacher spread0.171 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations7
Published2015
Admission routes1
Has abstractyes

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