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Record W2801425793 · doi:10.3138/utlj.2017-0114

The need to justify and limit procedural innovation in national security litigation

2018· article· en· W2801425793 on OpenAlexaffvenueabout
Kent Roach, Craig Forcese

Bibliographic record

VenueUniversity of Toronto Law Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Law and Evidence
Canadian institutionsUniversity of OttawaUniversity of Toronto
Fundersnot available
KeywordsSecrecyLegitimacyPlaintiffValue (mathematics)Government (linguistics)Law and economicsProcedural justicePolitical scienceState (computer science)LawNational securityBusinessEconomicsPsychologyComputer sciencePolitics

Abstract

fetched live from OpenAlex

Legal systems should not always assume the legitimacy of state demands for secrecy and accommodate them with procedural innovations. This is especially so in Canada, which has made problematic policy choices to stress secrecy even in counterterrorism investigations where secret intelligence often has evidential value. A fairer and more efficient transition from secret intelligence to public evidence could be achieved if Canadian criminal trial judges, like those in other democracies, could make and revise non-disclosure or public interest immunity orders to protect secrets. The government of Canada has not justified adopting the procedural innovation of closed material procedures that would allow it to defend itself in national security civil litigation on the basis of secret evidence not seen by plaintiffs claiming to have been abused, but only by special advocates. There is a danger that even justified procedural innovation such as the use of special advocates will create new baselines that can be used to support additional innovations that may undermine the legitimacy of the legal system and discount the value of procedural regularity.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.930
Threshold uncertainty score0.965

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 studies0.0010.000
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 head0.024
GPT teacher head0.294
Teacher spread0.270 · 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 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

Citations1
Published2018
Admission routes3
Has abstractyes

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