An Earthy Enigma: The Role of Localism in the Political, Cultural and Economic Dimensions of Media Ownership Regulation
Bibliographic record
Abstract
This article examines the Federal Communications Commission's public interest principle of localism and its role in media ownership regulation, particularly the National Television Station Ownership rule. The article explains the enigmatic concept of localism by approaching it from several angles, including other regulatory spheres, such as banking and antitrust; Canadian nationalism; historical broadcast regulation; federalism; and contemporary debates on media ownership. While * explaining what localism means, the article identifies the territorial impulse behind media ownership regulation and its link with territorial reference points in the self-determination of national and local communities. In doing so, the article constructs a simple yet unique account that offers an alternative to unsubstantiated assumptions and the public choice critique. The author argues that localism and localist ownership regulation reflect the tension between the persistent relevance of territorial parameters in defining communities and the media's increasing. capacity to defy territory. The article thereby goes beyond the ideological dichotomy between regulatory and marketplace models for realizing the public interest and offers a balanced approach, enriched with political, cultural and economic perspectives, that refreshes the debate between proponents and critics of media ownership regulation and its liberalization.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.060 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".