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Record W3162026197

Every Moment Counts: The Legal Value of Time in Canadian Criminal Law and Procedure

2021· article· en· W3162026197 on OpenAlexaffabout
Amar Khoday

Bibliographic record

VenueSSRN Electronic Journal · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsStatutory lawLawCriminal lawValue (mathematics)Scope (computer science)Context (archaeology)Political scienceWork (physics)LiabilityPoliticsHistoryEngineeringMathematicsComputer scienceStatistics
DOInot available

Abstract

fetched live from OpenAlex

Time plays a significant role in the life of the law. Drawing on the work of Elizabeth F. Cohen regarding the political value of time, this article examines the legal value of time. Focusing on Canadian criminal law and procedure, the article illustrates how time is tightly woven into the fabric of various constitutional, statutory and common law norms. As examples, time is fundamental to sentencing, in addition to determining significant issues such as the scope of criminal liability for serious crimes (e.g. first degree murder), whether an accused should be acquitted on the basis of a defence, or whether evidence should be admitted or excluded. This article explores two ways in which time is employed: scientifically measured durational time (drawing from Cohen’s work) and context-sensitive determined time.

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)0.006
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.125
Threshold uncertainty score0.910

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.011
Science and technology studies0.0180.035
Scholarly communication0.0090.006
Open science0.0020.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.006
GPT teacher head0.259
Teacher spread0.253 · 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 designTheoretical or conceptual
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
Published2021
Admission routes2
Has abstractyes

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