Spatial justice, mobile futures and First Nations telecommunications landscapes in regional and rural Australia
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
In an Australian regional and rural context, inequalities in the location of telecommunications infrastructure and uneven development pose urgent spatial justice questions for policy and planning. These spatial injustices are reinforced by the imaginaries and ideologies of telecommunications development and which populations and locations can benefit from the growth gains attributed to enhanced telecommunications infrastructures. First Nations contributions to telecommunications planning and development are marginalised within the imagined futures and current experiences of internet and mobile coverage in regional and rural towns. Drawing on data from a project focused on regional and rural consumer understandings of smart technologies in North West New South Wales, Australia, we suggest that in order to more substantively position First Nations as growth contributors to telecommunications futures, a re-orientation of place, connectivity, and mobility in planning and engagement is necessary.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| 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