Broadband Enabled Fabric for Public Libraries in Canada
Bibliographic record
Abstract
Public libraries provide essential services to their communities through broadband Internet technologies. Broadband enables millions of people in these libraries to have access to e-government, employment, education, training, health, social networking and many other Internet-enabled services and resources. The public library service context is one in which multiple public access computers and mobile devices connected via the library's Wi-Fi are in continuous use as they access services and resources, often using the same connection. In this work used to 1) estimate the required bandwidth per user in a public library through identifying applications used in different areas at public libraries. Then, estimate the bandwidth required for each target area; 2) recommend a systematic approach to determining the number of active users (in-branch cardholders or community member) to the resident population served by the library; 3) recommend best practice minimum and maximum bandwidth required to serve an individual library based on the population served. The intent is to leverage these recommendations to broadband requirements for public libraries across North America, more specifically within the profile of Canadian libraries. The goal is to provide the library sector with a practical guide in determining broadband requirements that will support their digital roadmap.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".