Combatting cultural ‘nerve gas’: maintaining traditional media and culture through local media production in Australia, Canada and Mexico
Bibliographic record
Abstract
In Australia in the 1980s, large numbers of remote Indigenous radio stations were established due to a perception that the introduction of ‘mainstream’ satellite programming in remote areas would act as a form of cultural ‘nerve gas’ (Remedio, 2012: 295) that would threaten ‘the very isolation that had helped to preserve what remained of traditional language and culture’ (Guster, 2010: 9). There are parallels here with the development of remote media in Mexico and Canada, where local radio networks focusing on cultural content production were established in response to impending development and imposed sources of mass media. In each country, broadcasters in remote communities have, in recent years, been producing increasing amounts of hyper-local cultural and language-based content. This article examines the role played by Indigenous media in remote areas of Australia, Canada and Mexico in creating an alternative cultural voice for traditional communities and maintaining language and culture.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".