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Record W1488848836 · doi:10.3138/jcs.42.3.172

Uneasy Abolitionists: Canada, the Death Penalty, and the Importance of International Norms, 1962-2005

2008· article· en· W1488848836 on OpenAlexvenueaboutno aff
Andrew S. Thompson

Bibliographic record

VenueJournal of Canadian Studies · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicTorture, Ethics, and Law
Canadian institutionsnot available
Fundersnot available
KeywordsLawRatificationPoliticsInternational Covenant on Civil and Political RightsCharterPolitical scienceParliamentSupreme courtSociologyHuman rightsFundamental rightsRight to property

Abstract

fetched live from OpenAlex

From the early 1960s to 2005, with Canada’s ratification of the 1989 Second Optional Protocol of the International Covenant of Political and Civil Rights, norms relating to the abolition of the death penalty have been advanced only incrementally, and in many respects tentatively. The process of making Canada abolitionist began at the level of high politics as an attempt to simultaneously make the criminal justice system more humane and bring Canada into the modern era. Parliament officially removed the death penalty from Canada’s Criminal Code in 1976 and defeated a motion to have it reinstated in 1987, and yet both debates were deeply divisive and did little to settle the issue for Canadians, the majority of whom still favoured the practice. This reluctance was later reflected in two high-profile cases involving the extradition of violent fugitives to the United States to face execution that were heard before the Supreme Court of Canada in 1991 and 2000. Indeed, since the initial efforts to remove capital punishment from the Criminal Code, the abolitionist norm has had a tenuous hold in Canada, its eventual strengthening occurring only with the combination of the increase in authority of the Canadian judiciary in the era of the Canadian Charter of Rights and Freedoms, and the emergence of definitive norms and laws at the international level.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.643
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.053
GPT teacher head0.311
Teacher spread0.258 · 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 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

Citations4
Published2008
Admission routes2
Has abstractyes

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