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Record W2068467734 · doi:10.4018/ijpada.2014040106

Information, Innovation and the Boogeyman

2014· article· en· W2068467734 on OpenAlexaffabout
Trevor Fowler, Kevin Quigley

Bibliographic record

VenueInternational Journal of Public Administration in the Digital Age · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCybersecurity and Cyber Warfare Studies
Canadian institutionsDalhousie University
Fundersnot available
KeywordsOperationalizationFlexibility (engineering)Government (linguistics)Context (archaeology)Work (physics)Information exchangeBusinessComputer securityPublic relationsInformation securityEconomicsPolitical scienceComputer scienceEngineeringManagement

Abstract

fetched live from OpenAlex

Governments around the Western world are becoming increasingly concerned about cyber security. This paper uses the Hood et al. Risk Regulation Regime (2001) framework to describe Public Safety Canada's Cyber Security Strategy and analyze the social and economic pressures that will influence the manner in which the strategy will be operationalized. This paper recommends that government: takes a balanced approach to securing its own systems, recognizing the costs of an overly precautionary stance; continues to work and exchange information on cyber security with owners and operators of critical infrastructure while at the same time recognizing the market context in which they operate, which constrains this exchange; and helps Canadians to be secure online with enhanced public education programs that have a longer-term view and recognize people's desire for flexibility and convenience in the technology they use. The research in this paper is drawn from academic literature, media analysis and semi-structured interviews.

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)0.004
metaresearch head score (Gemma)0.009
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 score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0050.023
Scholarly communication0.0120.009
Open science0.0010.006
Research integrity0.0050.002
Insufficient payload (model declined to judge)0.0140.001

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 head0.021
GPT teacher head0.304
Teacher spread0.283 · 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

Citations2
Published2014
Admission routes2
Has abstractyes

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Same venueInternational Journal of Public Administration in the Digital AgeSame topicCybersecurity and Cyber Warfare StudiesFrench-language works237,207