Empowering Manitoba: Community Broadband Initiatives, Digital Adoption, and Priorities for Digital Transformation in all corners of the Province
Bibliographic record
Abstract
Digital technologies are critical to sustainable livelihoods in rural, northern and remote Canada. The Rural Development Institute (RDI) and Internet Society Manitoba Chapter (ISOC MB) are partnering on an initiative that explores digital challenges related to connectivity and digital development in rural, northern and remote Manitoba. Our study employs a multifaceted approach, investigating digital infrastructure, community broadband initiatives, digital adoption, and digital capacity-building practices. Within rural, northern and remote contexts, our objectives include identifying and learning from successful and unsuccessful community-based connectivity initiatives and establishing an inventory of digital services in underserved areas. Integral to our project is the creation of a podcast series that amplifies the voices from all corners of Manitoba, showcasing their digital journey. This platform allows community members, policymakers, and digital service providers to share experiences, challenges, and successes, contributing to a rich digital transformation narrative across the province. Our presentation will discuss the challenges and opportunities for innovation, collaboration, and knowledge sharing in addressing the digital divide and potential within rural, northern and remote communities.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".