Raising the Civil Dead: Prisoners' Radio in Australia and Canada
Bibliographic record
Abstract
Citizen's mediaThis PhD dissertation considers prisoners’ radio in Australia and Canada as citizen’s media connecting directly to notions of civic responsibility. It focuses on the ways in which people produce media and how these activities transform those individuals. I will argue that there are two major, and complementary, roles of prisoners’ radio – the first relates to information, while the second is of a participatory nature. By circulating alternative information, prisoners’ programs contribute to an ongoing dialogue about criminalisation and prisons, while direct participation provides opportunities to contribute to this exchange of ideas. Truly democratic societies require that these opportunities exist. When prisoners engage in their own radio production they are participating in a form of meaningful community activity which benefits both prisoners and the wider audience (including family and friends). The loss of citizenship rights (either formally or informally) makes it even more vital that prisoners have access to opportunities that enact their citizenship through alternative means. Producing media and information is one way in which this may be achieved. Public sphere activity, via the media, promotes political participation and actively engages people as citizens in the radical sense of democracy. For people to fully exercise their citizenship rights they need access to a broad choice of perspectives that may assist them to understand particular issues, as well as opportunities to contribute to such representations. My research identified a number of levels of public sphere activity being fostered by prisoners’ radio.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.025 | 0.007 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".