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Record W1964231988 · doi:10.1177/016344370202400604

Netscapes of power: convergence, consolidation and power in the Canadian mediascape

2002· article· en· W1964231988 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMedia Culture & Society · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsCarleton University
Fundersnot available
KeywordsCyberspaceTechnological convergenceConsolidation (business)The InternetMedia conglomerateSociologyNew mediaPublic relationsAdvertisingMedia studiesPolitical scienceInternet privacyBusinessTelecommunicationsMedia relationsLawEngineeringComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Grounded in a study of the Canadian mediascape, this article argues that trends toward media ownership consolidation are having a fundamental impact on broadcasting and the evolution of cyberspace as a whole. I argue that current trends reflect the rise of what we can call ‘Machiavellian media’ - communication and information systems saddled with three tasks: building the information society; populating cyberspace with workers/citizens/users; and projecting the ‘brand image’ of nation-states on a global plane. The article critiques the notion that new media, especially the internet, are disruptive technologies. Among other things, cyberspace is a class-divided space. More than this, though, networks - the basis of many ‘new media’ - are powerful entities and those who control them influence content providers’ access to people and people’s access to content. The article also analyzes three other factors that are affecting the evolution of networks and cyberspace: attempts to design ‘netscapes of power’, the privatization of cyberlaw, and ‘walled garden’ strategies. Together, these strategies seek to change the Internet into a mainly ‘read-only’ medium and to cybernetically integrate audiences, content and all organizational resources into a self-referentially enclosed information system governed by multimedia conglomerates’ need to defend their investments in a model of media evolution that has, at best, weak cultural foundations.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score0.974

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.264
Teacher spread0.240 · 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