Intersections between connectivity and digital inclusion in rural communities
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
As societies become more connected and digitalised, evidence shows that differences in infrastructure quality are growing between urban and rural areas. The constant catch-up of infrastructure and existing social exclusion factors create a double jeopardy in rural areas. Furthermore, as digital technologies are increasingly embedded into economic, political, social, and personal lives, the disadvantages that occur from disconnection manifest differently depending on the social context of an individual, organisation or community. There is a need to improve our understanding of specific contexts of digitally excluded groups and develop targeted policies and programmes. Drawing from fieldwork in rural communities in Australia, this article examines the relationship between limited connectivity, the local context and socio-economic outcomes in rural areas. We suggest a customised policy framework that is responsive to the diversity and uniqueness of local contexts in connectivity and digital inclusion.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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