Living Language, Resurgent Radio: A Survey of Indigenous Language Broadcasting Initiatives
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
For a demise that has been predicted for over 60 years, radio is a remarkably resilient communications medium, and one that warrants deeper examination as a vehicle for the revitalization of historically marginalized and Indigenous languages. Radio has not been eroded by the rise of new media, whether that be television, video, or newer multimodal technologies associated with the internet. To the contrary, communities are leveraging the formerly analogue medium of radio in transformative ways, breathing new life into old transistors, and using radio for the transmission of stories, song, and conversation. In this contribution, we highlight effective and imaginative uses of radio for Indigenous language reclamation through a series of case studies, and we offer a preliminary analysis of the structural conditions that can both support and impede developments in Indigenous-language radio programming. The success of radio for Indigenous language programming is thanks to the comparatively low cost of operations, its asynchronous nature that supports programs to be consumed at any time (through repeats, podcasts, downloads, and streaming services) and the unusual, even unique, quality of radio being both engaging yet not all-consuming, meaning that a listener can be actively involved in another activity at the same time.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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