MétaCan
Menu
Back to cohort
Record W2902380474

KEEPING SECRETS: SURVEILLANCE POST PRIVILEGE

2013· article· en· W2902380474 on OpenAlexaboutno aff
John Burchill

Bibliographic record

VenueThe Canadian Bar Review · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsnot available
Fundersnot available
KeywordsPrivilege (computing)LawPolitical scienceDiscretionSecrecyCommonwealthJurisprudenceLaw enforcementDisadvantageScope (computer science)EnforcementHigh CourtComputer science
DOInot available

Abstract

fetched live from OpenAlex

Location or surveillance post privilege is designed to protect surveillance operations where knowledge of the locations, techniques and equipment used would educate criminals about how to avoid future surveillance; educate third parties about how to conduct illegal surveillance; frustrate future similar surveillance activities; and pose risks to individuals conducting surveillance or those allowing the use of their facilities.1 While the privilege is based on two centuries of jurisprudence regarding the protection of informants, it is a relatively new application of the rules regarding informants. The privilege is, however, qualified and not absolute. As a result trial courts have a great deal of discretion in determining the scope of the privilege – balancing the accused’s right to full disclosure and to adequately cross-examine and confront witnesses with the public interest in maintaining secrecy and effective law enforcement. While the ultimate focus is on Canadian law, the author starts with English precedent through New Zealand, Australia, and the United States before ending with Canada. As the rule is fairly consistent across the Commonwealth with Canadian courts adopting US precedent which in turn was built on earlier English precedent, the law in Canada can be seen as an evolution of the practices elsewhere

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.914
Threshold uncertainty score0.998

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.003

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 head0.032
GPT teacher head0.298
Teacher spread0.267 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueThe Canadian Bar ReviewSame topicCriminal Law and EvidenceFrench-language works237,207