The press and public service broadcasting : Neville Petersen's news not views and the case for Australian exceptionalism
Bibliographic record
Abstract
This article revisits historical rivalries between established and emerging media, namely the press and broadcasting, during first half of the 20th century. To this end, the author constructs a dialogue between Neville Petersen’s broadcasting research and his own press research over a similar period. In his major work, News Not Views. The ABC, Press and Politics (1932-1947), Petersen (1993) elaborated in detail the ongoing constraints imposed by Australian newspaper proprietors on the fledgling Australian Broadcasting Commission (ABC), in their struggle, ultimately unsuccessful, to restrict its news supply and influence. Drawing on subsequent press research based on international forums, the author will revisit this rivalry, particularly Petersen’s thesis that Australian press proprietors exercised disproportionate influence over the national broadcaster when compared with other English-speaking countries, such as Britain and Canada.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.015 | 0.031 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".