Bibliographic record
Abstract
This chapter undertakes a spatial analysis of new stories on First Nations in Australia focusing on two newspapers, the national newspaper The Australian , and the local newspaper the Daily Liberal , which services the regional New South Wales town of Dubbo and surrounding areas. Content analysis of news stories from the month of June 2019 was performed to determine where First Nations travel in the news media and the spatial mobility of First Nations at national and local levels of news treatment. While the majority of news stories in The Australian took place in major cities, and reflect the urban demography of First Nations, a high number of stories focused on issues in remote and very remote locations. This focus suggests that remoteness and symbolic exclusion is still a salient spatial feature of non-Indigenous representations of First Nations. The Daily Liberal stories covered a more concentrated regional area, and there was a tendency to portray First Nations issues as aligned with regional development, opportunity, and progress. This chapter reveals how the physical and symbolic boundaries of news media refract Indigenous mobility and geographical presence in Australia.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".