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Record W4310040896 · doi:10.3138/cjc.2022-0027

Broadcasting Reform in Canada: The Case for a Georgist View of the Audience Commodity

2022· article· en· W4310040896 on OpenAlexvenueaboutno aff
Gordon Dimitrieff

Bibliographic record

VenueCanadian Journal of Communication · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsCommodityContext (archaeology)Broadcasting (networking)LegislationThe InternetArgument (complex analysis)Public broadcastingPublic relationsPolitical scienceAdvertisingSociologyBusinessComputer scienceWorld Wide WebLaw

Abstract

fetched live from OpenAlex

Background: The Government of Canada’s Online Streaming Act attempts to incorporate online streaming services into the “single system” of the Broadcasting Act. The legislation has been heavily criticized for a variety of reasons, and constructive debate has been hampered by the lack of a clearly defined policy rationale or public interest objective—in large part because the term “broadcasting” is ill-defined in the internet context. Analysis: This article applies Georgist political economy to reinterpret Dallas Smythe’s concept of the “audience commodity” for the purpose of integrating emergent theories about the economics of attention and freedom of speech in the context of broadcasting and online media regulation. The principal argument is that a resource-centric view of human attention creates a technology-neutral conceptual basis for determining the scope of what is and is not media broadcasting. Conclusions and implications: The conceptual framework developed aligns the audience commodity concept with the contemporary business reality of content creators and helps draw some defining lines around the concept of “broadcasting” in the era of Internet platforms. Transitioning the fundamental basis for the definition of “broadcasting” from one of transmission methods to one of controlling the bottlenecks of attention would make it far easier to construct meaningful legislation in the public interest.

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 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
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 head0.053
GPT teacher head0.289
Teacher spread0.236 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations1
Published2022
Admission routes2
Has abstractyes

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