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Record W4236350053 · doi:10.1108/oxan-db221885

Security bill will boost Canada’s cyber capabilities

2017· other· en· W4236350053 on OpenAlexaboutno aff

Bibliographic record

VenueEmerald expert briefings · 2017
Typeother
Languageen
FieldSocial Sciences
TopicMilitary and Defense Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPledgeLegislationNational securityPolitical sciencePublic administrationLawGovernment (linguistics)EnforcementLaw enforcementBureaucracyParliamentComputer securityPoliticsComputer science

Abstract

fetched live from OpenAlex

Subject Bill C-59 and Canadian national security legislation. Significance Canada’s governing Liberals have introduced Bill C-59, omnibus national security legislation that promises to be the most significant overhaul of the national security and intelligence architecture since the creation of the Canadian Security and Intelligence Service (CSIS) in 1984. The proposed legislation follows through on a campaign promise by Prime Minister Justin Trudeau to remove unpopular elements from Bill C-51, a legacy of the Conservative government of former Prime Minister Stephen Harper that drew criticism on rights grounds for sweeping powers granted to law enforcement and intelligence to assiste counterterrorism efforts. Impacts Privacy concerns will be a persistent obstacle to Ottawa increasing cyber cooperation with the United States. The bureaucratic overhaul is likely to improve the efficacy of surveillance operations and intelligence analysis. China following through on its recent pledge not to hack Canadian commercial secrets probably depends on bilateral ties warming.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.114
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.014
GPT teacher head0.275
Teacher spread0.260 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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