Morals and the media : ethics in Canadian journalism
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Confronted daily with decisions on how to present their stories, what to write and what not to write, journalists and the media are frequently accused of sensationalizing, of choosing to report the bad news, and of misquoting those they interview. In this substantially updated edition of Morals and the Media, Nick Russell addresses many of the concerns the public has about the media as he examines why the media behave the way they do. He also discusses how values have been developed and applied and suggests value systems that can be used to judge special situations. This revised edition covers the many changes in the Canadian media in the last decade, including further concentration of media ownership, media convergence, online journalism, the rise of the web log, and the tightening economic pressures on the industry as a whole. While much of the debate in this field has focused on conditions in the United States, Russell points out that the ethical issues that arise in Canada are often substantially different from those in the US. He has also added new Tough Calls at the end of each chapter, inviting readers to test their own ethics in scenarios drawn from real news stories. Morals and the Media will be essential reading in journalism courses as well as an important resource for journalists. It will also be of interest to the consumers of journalism - the readers, listeners, and watchers - who wonder why the media do what they do.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it