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Record W2052465695 · doi:10.3138/cjccj.46.5.597

Watching the Web: Thoughts on Expanding Police Surveillance Opportunities under the Cyber-Crime Convention

2004· article· en· W2052465695 on OpenAlex
Laura Huey, Richard Rosenberg

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale · 2004
Typearticle
Languageen
FieldComputer Science
TopicCybercrime and Law Enforcement Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCriminologyConventionComputer securityPolitical scienceCyber crimeEngineeringLawInternet privacyBusinessSociologyComputer scienceThe InternetWorld Wide Web

Abstract

fetched live from OpenAlex

On 23 November 2001, the Council of Europe and non-member states Canada, Japan, South Africa, and the United States signed the Convention on Cybercrime (CC), an agreement that requires participating nations to enact legislation that facilitates investigation and prosecution of crimes committed through the Internet. Among the measures mandated is legislation that grants new powers of search and seizure to law enforcement authorities, including the power to compel Internet service providers (1) (ISPs) to provide intercept technology to ensure lawful to data transmissions, to provide assistance to police in the storage and search of data traffic generated by an investigation target, and to release to police general information (i.e., names and addresses) regarding a service's customers. The CC places obligations upon ISPs that, in effect, convert service providers into integral cogs in the apparatus of online law enforcement. We see this as part of a larger trend in the field of as a whole. Western states have begun to recognize the limitations of public police services in effecting crime control in various areas, including the field of telecommunications. To this end, law enforcement and other state agencies have been extending the reach of the state by establishing policing networks with elements of the private sector (from local community watch programs to private security companies and insurance agencies) that have the tools and capacity to achieve desired results beyond the state (Ericson and Haggerty 1997; Garland 2000). Both in isolation and in the context of the larger shift towards extending surveillance and functions throughout civil society, we see the CC's requirements as representing a substantial threat to Internet users' online privacy while placing onerous obligations on private businesses. The Convention on Cybercrime In this section we would like to explore in further detail those articles of the convention that bear most directly on issues relating to the role of service providers in facilitating Internet data surveillance and the search and seizure of customers' records. The bulk of the concerns addressed here arise in Articles 16 through 21. Article 16 specifies that signatories will adopt legislation or regulatory mechanisms to permit authorities to order the (up to 90 days, though renewable) of computer data, including traffic data, relevant to an investigation. Article 16 also calls for measures to be enacted that lead to the preservation of specified computer data. As the convention fails to define preservation, the result has been concerns by users, ISPs, and civil libertarians as to whether governments will actually be seeking to trap the traffic of a targeted user (data preservation) or the network traffic of all users of a service (data retention). These worries appear to be justified: both the United Kingdom (Millar 2002) and Finland (EFFI 2002) have attempted to institute data retention schemes. Article 18 increases privacy concerns: it obliges signatories to adopt legislation or regulations that permit authorities to order computer data from a repository of those data, as well as ISP service subscriber information, including the identity and location of subscribers, their telephone number or other access method, billing and payment information, the type of service used, and the length of service. Article 20 further mandates the adoption of legislation to compel ISPs to provide access capability to law enforcement to monitor real-time traffic data or to assist law enforcement in collecting and recording real-time traffic. This would permit authorities to track the means by which targeted data are travelling. Article 21 calls for legal means to be established through which ISPs could be compelled to intercept and store content data such as e-mail messages, or to assist law enforcement in doing so. Each of the articles described, in effect, casts ISPs in the role of police agents, either by compelling them to function as officially sanctioned surveillants--searching for, collecting, analysing, and turning over data to agents of the state--or by ordering them to assist police in these same activities. …

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
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 score0.865
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.130
GPT teacher head0.311
Teacher spread0.181 · 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