Providing digital opportunities through public libraries: the Canadian example
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
This article describes the Bill & Melinda Gates Foundation’s work in providing grants to public libraries in low‐income communities above the 60th parallel in Canada. Through its Canadian Partnership program, the foundation granted $18.2 million to 1,466 libraries throughout the country, funding the purchase of over 4,000 computers, 27 training labs, and 16 laptop training labs. The area described in the article includes some of Canada’s most remote regions and required unique efforts to bring Internet access and information technology to low‐income communities in the territories of the Yukon, the Northwest Territories and Nunavut. The computers helped many residents with literacy skills, increased job opportunities, and provided a host of other advantages. The foundation’s experience proved that the long‐range benefits to communities are only truly seen when such initiatives are community‐driven.
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 | 0.000 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.030 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 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