MétaCan
Menu
Back to cohort
Record W2085154593 · doi:10.1177/0267323103018002003

Discourses on Communication Technologies in Canadian and European Broadcasting Policy Debates

2003· article· en· W2085154593 on OpenAlexaboutno aff
David Young

Bibliographic record

VenueEuropean Journal of Communication · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsTechnological determinismOpposition (politics)Broadcasting (networking)HegemonySociologyPolitical scienceNationalismContext (archaeology)DemocracyPolitical economyMedia studiesSocial scienceLawPoliticsHistory

Abstract

fetched live from OpenAlex

There have been growing similarities between broadcasting issues in Canada and Europe. Some issues, including the emergence of private broadcasting and concerns about American broadcasting, became prominent in Europe decades after they were evident in Canada. In both contexts, historical and contemporary debates about broadcasting issues have been tied to three discourses on communication technologies. This article contends that broadcasting policy debates in Canada and Europe can usefully be interpreted through a theoretical model that addresses technological determinism, technological democracy and technological nationalism. The model places the discourses in the context of struggles between dominant agents (private companies, governments or supranational institutions) and subordinate agents (including various social movements). The model shows how connections between the discourses help to secure the hegemony of powerful groups. However, the model also identifies contradictions within the discourses and compromises involving the discourses. Both are associated with opposition from less powerful groups.

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)0.017
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.293
Threshold uncertainty score0.820

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.031
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0100.016
Science and technology studies0.0490.039
Scholarly communication0.0350.009
Open science0.0020.007
Research integrity0.0090.005
Insufficient payload (model declined to judge)0.0060.000

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 head0.035
GPT teacher head0.313
Teacher spread0.278 · 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 designQualitative
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

Citations13
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Journal of CommunicationSame topicMedia Studies and CommunicationFrench-language works237,207