Redefining journalism : convergence in the public sphere
Bibliographic record
Abstract
In this paper I explore how participatory journalism is changing organizational structure\nand production practices at the publicly funded Canadian Broadcasting Corporation in Toronto\n(CBC). Using practical action research I examine two sites of study that offer unique strategies\non incorporating everyday citizens into the news production process: the use of citizen bloggers\nto supplement CBC’s coverage of the G20 summit in Toronto shows how diversifying\nstorytelling improves the overall quality of news content; the mandate of Connect with Mark\nKelly to democratize daily news by using ordinary people as sources and breaking traditional\nrules of production reveals a survival strategy for daily news shows. Through the lens of media\nlogic, using the theories of convergence culture and the public sphere, I develop strategies to\ninvolve more citizens in the newsmaking process, thus invigorating public discourse and\nsubverting news production that is designed to entertain instead of inform.
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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 | 0.029 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.022 | 0.063 |
| Scholarly communication | 0.035 | 0.024 |
| Open science | 0.002 | 0.023 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".