Newsgathering In the Harper Era: Adaptation and the Perpetuation of Sameness
Bibliographic record
Abstract
At the heart of political journalism is the gathering of information about the affairs of government, necessary for developing public opinion and keeping the government accountable.Under the current Conservative government mandate, political journalists have experienced heightened controls over information, rendering access to primary sources very limited.In turn these journalists have developed a reliance on secondary sources and methods to collect information for their stories.The barriers set in place by the government and its use of PR in the management of news have created a distance between journalists and their sources of vital information, as well as furthered the perpetuation of sameness within the news industry.Political journalists operate under the expectation that they will practice newsgathering and engage in the tug-of-war over information with their sources while upholding the values of transparency and journalistic truth.Currently, however, their primary source is increasingly dominating this dynamic, impeding journalists' ability to fulfill such expectations and continue to keep government accountable. Newsgathering In the Harper Era:Adaptation and the perpetuation of sameness
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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 | 0.008 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.010 | 0.041 |
| Scholarly communication | 0.016 | 0.017 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".