First Nations media in the Closing the Gap era: navigating the new self-determination
Bibliographic record
Abstract
In 2020, a new Closing the Gap Agreement and an associated Joint Communications Strategy committed the Australian Government and state and territory governments to working with First Nations media to advance Closing the Gap aims, after lobbying by First Nations Media Australia. The new attention to First Nations media occurs after two decades of government disregard. We observe how First Nations media organisations have consistently advocated for a form of self-determination through First Nations-controlled communications, laying the groundwork for this shift. In doing so, they strategically adopt a political discourse to critique and promote reform of policy frameworks in their interests, highlighting tensions around the conceptualisation and practice of self-determination. We consider what may be required for a revised (re)adoption of self-determination as a policy to shift state-led governance, and to overcome the significant failures and limitations of policy processes.
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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 | 0.022 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.012 | 0.032 |
| Scholarly communication | 0.015 | 0.019 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 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".