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Record W2276290261 · doi:10.22230/cjc.2016v41n1a2894

Telecom Responsibilization: Internet Governance, Surveillance, and New Roles for Intermediaries

2016· article· en· W2276290261 on OpenAlex
Mike Zajko

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.

Bibliographic record

VenueCanadian Journal of Communication · 2016
Typearticle
Languageen
FieldComputer Science
TopicInternet Traffic Analysis and Secure E-voting
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIntermediaryInternet governanceThe InternetCorporate governanceBusinessCivil societyService providerEnforcementState (computer science)PoliticsInternet Architecture BoardPublic relationsLaw enforcementInternet service providerService (business)Internet privacyPublic administrationPolitical scienceLawMarketingFinance

Abstract

fetched live from OpenAlex

This article foregrounds internet intermediaries as a class of actors central to many governance and surveillance strategies, and provides an overview of their emerging roles and responsibilities. While the growth of the internet has created challenges for state actors, state priorities have been unfolded onto the private institutions that provide many of the internet’s services. This article elaborates responsibilization strategies implicating internet intermediaries, and the goals that these actors can be aligned toward. These include enrolling telecom service providers in law enforcement and national security-oriented surveillance programs, as well as strategies to responsibilize service providers as copyright enforcers. But state interests are also responsive to pressures from civil society, so that “internet values” are increasingly channelled through the formal political processes shaping internet governance.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.950
Threshold uncertainty score0.969

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.232
Teacher spread0.217 · 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