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Record W4317623472 · doi:10.1017/s0010417522000512

Branded Bodies: Judicial Torture, Punishment, and Infamy in Nineteenth-Century Iran

2023· article· en· W4317623472 on OpenAlexaff
Farzin Vejdani

Bibliographic record

VenueComparative Studies in Society and History · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsTortureHumiliationShamePunishment (psychology)AlterityBlasphemyCriminologyLawSociologyPolitical scienceHistoryLiteratureHuman rightsArtPsychologySocial psychologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract Forced branding, tattooing, and bodily inscriptions were linked to a complex intersection of meanings and uses in nineteenth-century Iran. Drawing on insights from studies of bodily inscriptions in other world historical contexts, this paper discusses branding as a marker of ownership, both of human slaves and of animals; Islamic attitudes toward bodily inscription and its symbolic significance in the afterlife; and associations between branding and human or divine love in Persian poetry. From this semiotic foundation, it turns to judicial uses of branding in nineteenth-century Iran: as torture for the extraction of incriminating admissions, and as punishment intended to shame (symbolically casting the criminal from society, stigmatizing their crime) and identify (tracking convicted criminals). Throughout the paper, branding’s legal place is understood in relation to silence and speaking, writing and reading, pain, humiliation, and the inversion of branding’s meaning by its victims, in Iran and a number of other societies.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.015
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.171
GPT teacher head0.380
Teacher spread0.209 · 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 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

Citations3
Published2023
Admission routes1
Has abstractyes

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