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Record W2462314620

Imagining the Future of Victims’ Rights in Canada: A Comparative Perspective

2015· article· en· W2462314620 on OpenAlexaffabout
Marie Manikis

Bibliographic record

VenueThe Knowledge Bank (The Ohio State University) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsPerspective (graphical)Political scienceCommon lawLawEconomic JusticeHuman rightsCriminal justiceCriminologySociology
DOInot available

Abstract

fetched live from OpenAlex

The role of victims of crime in common law jurisdictions has significantly changed over the last few decades from that of simple bystanders and witnesses for the Crown - if needed - to more present and active participants in the criminal justice process. Despite this general trend towards increased participation, victim-related policies have evolved very differently in the different common law jurisdictions. The following piece examines the evolution of victims' rights in Canada and compares their development to those within other jurisdictions,particularly in England, Wales, and the United States. It argues that the evolution of several victims' rights has been incremental, generally slower and more limited in Canada as compared to other common law jurisdictions, namely England and Wales and the United States. Hence, it highlights the limitations of Canadian initiatives with regards to victims' rights and brings forward some of the different initiatives and their implementation in these other jurisdictions as possible measures to consider in shaping the future of victims' rights in Canada.

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)0.005
metaresearch head score (Gemma)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.276
Threshold uncertainty score0.840

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.013
Science and technology studies0.0310.023
Scholarly communication0.0190.008
Open science0.0030.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0090.000

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 head0.026
GPT teacher head0.270
Teacher spread0.244 · 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

Citations1
Published2015
Admission routes2
Has abstractyes

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