Enabling Postmedia: Economists as the “Rock Stars” of Canadian Competition Law
Bibliographic record
Abstract
Background Canada is suffering a crisis in local news largely attributable to regulatory failure. Its largest newspaper chain, Postmedia Network, took over the second-largest chain in late 2014, and in early 2016 it merged the newsrooms at its duplicate dailies in four of Canada’s six largest cities. Parliamentary hearings on local media ensued, and a mid-2017 report recommended, among other things, changes to the Competition Actto more effectively deal with news media mergers and takeovers. Analysis The Competition Bureau is dominated by economists who may lack sufficient grounding in media issues to effectively deal with mergers and takeovers in news industries. Conclusion and implications Reform of the country’s Competition Act, which has been called for by successive federal media inquiries, is more urgently required than ever.
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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 | 0.010 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.021 | 0.032 |
| Scholarly communication | 0.025 | 0.010 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.020 | 0.001 |
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".