The Cancellation of the Community Access Program and the Digital Divide(s) in Canada: Lessons Learned and Future Prospects
Bibliographic record
Abstract
The Government of Canada's recent termination of its Community Access Program eliminated a major source of funding for organizations that connect disadvantaged individuals and communities to the Internet. Nevertheless, inequalities in Internet access and usage continue to exist. In the absence of a coordinated national policy to address digital divides, responsibility for providing Internet access to low-income Canadians devolves primarily onto large civic and regional libraries. This devolution works to the particular disadvantage of remote and rural areas, which tend to have neither an affordable supplier of residential broadband nor the economic base to support library systems large enough to provide community access sites. For communities in this situation, the First Mile paradigm offers some hope. In the broader context, future Internet connectivity initiatives in Canada should look beyond simply providing "access," and link the individual's effective use of information and communication technologies to the well-being of the community in which the individual is situated.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".