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Record W2600212456 · doi:10.1163/15691330-12341423

An Integrated Theory of Lethal Punishment: Social Geometry, Status Relationships, and the Dehumanization Process

2017· article· en· W2600212456 on OpenAlexaff
Joseph H. Michalski

Bibliographic record

VenueComparative Sociology · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsThe King's UniversityWestern University
Fundersnot available
KeywordsDehumanizationPunishment (psychology)LethalitySocial psychologyCriminologySocial controlPsychologySociologySocial science

Abstract

fetched live from OpenAlex

Punishment exists universally as a form of social control, spanning a continuum from the physically inconsequential to lethality. What explains observable variations in punishment, or lethal punishment as a form of social control? This paper builds upon Black’s pure sociology framework and Milner’s theory of status relations to argue that lethal punishment occurs mainly under conditions of marginalization, disruptions of the previous social geometries, and social polarization that characterize interpersonal encounters or inter-group relationships. These conditions facilitate the status degradation processes that lead to the dehumanization of the “other.” By the same token, such conditions do not often prevail in familial settings and hence lethal punishments are far less common than the lethality associated with other forms of moralistic violence and state-sanctioned punishments.

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 score0.003
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.030
Scholarly communication0.0030.005
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.193
GPT teacher head0.457
Teacher spread0.264 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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