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Record W2970283393 · doi:10.29173/mlj1002

Robson Crim: A Vision for Multivalent Interrogations of Criminal Law

2017· article· en· W2970283393 on OpenAlex
Richard Jochelson, Amar Khoday, David Ireland

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueManitoba Law Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCriminal justiceCriminal lawScholarshipLawPolitical scienceScope (computer science)PublicationNoticeVariety (cybernetics)JurisprudenceLegislatureSociologyCriminology

Abstract

fetched live from OpenAlex

t is an exciting time for Canadian criminal law scholarship.There are any number of critical matters to examine, from issues of legislative reform, serious concerns relating to the scope of police powers in conducting investigations and their impact on constitutional rights and values, to the scope of criminal offences and defences.To explore these and many other significant topics, there is a variety of excellent venues to publish within Canada for scholars and practitioners in our communities, including practitioner journals, short submission reviews, criminology journals, and traditional law journals.When we met with the editorial team at the Manitoba Law Journal (MLJ) we did notice that there was a lacuna in Canada's scholarly criminal law realms.We wanted to develop a venue where scholars of criminal law, criminal justice, and criminology could openly discuss legal issues of significant import -a space where scholars could debate criminal law practice, theory, philosophy, and, also, provide an intellectual home that would welcome cognate disciplines to engage in these debates.In short, we wanted to establish a leading location to host national and international conversations on criminal law and justice, while at the same time allowing for the progression of the MLJ's goal to provide interesting insights to the local and national bar.This is neither the first, nor the last time that the MLJ has interrogated issues of criminal law.From jury work, plea bargaining, matters of

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.867
Threshold uncertainty score0.997

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 studies0.0040.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.111
GPT teacher head0.414
Teacher spread0.303 · 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