Understanding the Benefits of Broadband: Insights for a Broadband Enabled Ontario
Bibliographic record
Abstract
This paper reviews the international literature on broadband network developments and assesses the claims of social and economic benefits attributed to broadband initiatives. The paper reveals a current disconnect between societal level goals for increased citizen participation in the knowledge economy, and individual broadband usage that is centred around communication and entertainment activities. The paper points to the crucial, and often overlooked role that communal level broadband initiatives can play in extending services to citizens, and in improving interactions between governments and their constituents. It is noted that the clearest beneficiary of global broadband deployments is the commercial sector. Although broadband technologies are being widely adopted by consumers, and heavily promoted by governments, it is observed that their impacts to date are subtle, rather than spectacular. It is difficult to identify a set of applications or services that would be essential to a broadband enabled Ontario, but given the perceived importance of broadband as an enabler of competitiveness and productivity, it appears that an agenda to increase broadband capacity and services in Ontario is a reasonable one. The paper concludes by presenting a number of issues to be considered in the development of a strategic vision and agenda for ‘broadband enabling’ the Ontario economy.
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.
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 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".