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Record W2130130495

All Convictions Are Not the Same: Rethinking CUPE’s Abuse of Process Doctrine in Cases Involving Plea Bargains

2014· article· en· W2130130495 on OpenAlexvenueaboutno aff
Lara Kinkartz

Bibliographic record

VenueDalhousie journal of legal studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsnot available
Fundersnot available
KeywordsConvictionPleaRebuttalLawDoctrinePolitical scienceSupreme courtWarrantInnocenceSociologyEconomics
DOInot available

Abstract

fetched live from OpenAlex

Historically, when a criminal conviction was introduced as evidence of guilt in a subsequent civil action, the convicted party was permitted to introduce rebuttal evidence to negate or mitigate the effect of the prior conviction. However, the Supreme Court of Canada’s 2003 decision in Toronto (City) v Canadian Union of Public Employees (CUPE) Local 79 has resulted in an unprecedented restriction on the ability to rebut a prior conviction. As a result of the CUPE decision, the doctrine of abuse of process now precludes rebuttal evidence in most cases. CUPE’s expanded abuse of process doctrine is troubling because, to date, courts have applied it to all prior convictions—even convictions arising out of plea bargains. However, Canada’s system of plea bargaining exerts significant coercive pressure on the accused, which may render such convictions less trustworthy. This paper argues that it is time that our civil courts recognize that all convictions are not the same: those based on plea bargains raise unique fairness concerns that warrant relaxing CUPE’s rigid bar on rebuttal evidence. Judges in our civil courts ought to be permitted to examine the circumstances surrounding guilty pleas to determine if the plea bargain appears to be coercive. If so, they ought to permit the convicted party to adduce rebuttal evidence. Such an approach remains true to the main principle underlying the CUPE decision—the integrity of the justice system—while at the same time preventing the unfairness of coercive plea bargains from spilling over into our civil courts.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.306
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.105
GPT teacher head0.383
Teacher spread0.278 · 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

Citations0
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueDalhousie journal of legal studiesSame topicCriminal Law and EvidenceFrench-language works237,207