Bibliographic record
Abstract
In the spring of 2014, the Canadian Broadcasting Corporation (CBC) announced that it will cut 657 positions and get out of the business of airing professional sports, a pillar of its programming for more than 60 years. As part of a plan to confront a $130-million revenue shortfall projected for the 2014-15 broadcast year, the cuts represent about 8 per cent of the broadcaster’s total work force, compensating for lower ratings and an industry-wide slump in the TV ad market (Houpt & Simon, 2014). Viewed by some as a sign of the imminent collapse and possible restructuring of the CBC (Rowland, 2013), the sidelining of the public service mandate (in favor of the commercial mandate for ratings and profit) offers an opportunity to reimagine what public service media means.
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 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 | 0.007 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.030 | 0.012 |
| Scholarly communication | 0.020 | 0.011 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".