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Record W4405082970 · doi:10.1177/14624745241298220

The politics of abolition: Reframing the death penalty's history in comparative perspective

2024· article· en· W4405082970 on OpenAlexaboutno aff
Carolyn Strange, Daniel Pascoe, Andrew Novak

Bibliographic record

VenuePunishment & Society · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsCognitive reframingPoliticsPerspective (graphical)Political scienceCriminologySociologyPolitical economyLawSocial psychologyPsychologyArt

Abstract

fetched live from OpenAlex

Literature on opposition to the death penalty typically characterizes abolition as inexorable and attributes its fulfillment to the age of human rights. Although most countries abolished capital punishment after the Universal Declaration of Human Rights in 1948, this article uses three comparative case studies to demonstrate abolition’s entanglement with a broader range of political, legal, and cultural factors. Applying a historically grounded nonteleological approach, we offer three insights. First, civilizationist values drove abolitionism in countries in the “vanguard,” such as Canada and England/Wales, where human rights rationales were expressed well after abolition and as a mark of superiority. Second, death penalty abolition has often allied with decolonization and penal reform, but assertions of independence and sovereignty have periodically provoked reinstatement, as in Mexican and Philippine history, which underscores the fragility of abolition. Third, state-centric approaches to de jure and de facto abolition overlook the practice of extrajudicial and summary “rebel” executions in polities such as Myanmar and Mali, which lack a state monopoly on force. Further historical studies that do not presuppose a human rights explanation of abolition and that compare jurisdictions within as well as between the Global North and South will better grasp the death penalty’s complex 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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.464
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.049
GPT teacher head0.355
Teacher spread0.306 · 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.

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

Citations5
Published2024
Admission routes1
Has abstractyes

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