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Record W4414162963 · doi:10.5206/sc.v13i1.23033

Want to go to Blockbuster? The CRTC is Faced with an Opportunity to Change its Regulations to Better Adapt to an Era of Dominant Foreign Streaming Services

2025· article· en· W4414162963 on OpenAlexaboutno aff
Noah Vanderhoeven

Bibliographic record

VenueThe Social Contract · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsMandateSafeguardingCommissionRevenueDominance (genetics)InteroperabilityDigital economyProcurementMedia conglomerate

Abstract

fetched live from OpenAlex

The rise of global streaming platforms like Netflix and Amazon Prime Video has disrupted traditional media landscapes, posing significant challenges for Canadian content production and distribution. This article examines the role of the Canadian Radio-television and Telecommunications Commission (CRTC) in safeguarding Canadian cultural identity amidst the dominance of foreign streaming services. It analyzes the CRTC’s current regulatory framework, which has struggled to adapt to the digital era, and proposes policy reforms to support Canadian content better. Key recommendations include deregulating domestic media companies to foster competitiveness, imposing sales taxes on foreign streaming services to level the playing field, directing tax revenues to the Canadian Media Fund, redefining Canadian content to reflect multicultural narratives, and incentivizing streaming platforms to distribute Canadian productions through procurement strategies. These measures aim to ensure that Canadian stories are created, distributed, and accessed by audiences while aligning with the CRTC’s mandate to promote national identity and consumer affordability in a rapidly evolving media environment.

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)0.001
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 score0.748
Threshold uncertainty score0.890

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.052
GPT teacher head0.336
Teacher spread0.284 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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