Ontario Library Association (OLA) News Knowledge Ontario Successful in Acquiring Province Wide Licenses for a Core Suite of Digital Resources The Ontario Ministry of Culture and the Management Group of Knowledge
Bibliographic record
Abstract
Ontario have announced that negotiations have been successfully completed to supply all publicly funded libraries in the Province of Ontario with a core suite of digital products. The resources contained in these databases will provide access to information that is needed everyday by individual Ontarians and students of all ages. The resources and materials go well beyond what is currently available on the internet, offering full text of newspapers, magazines and books. Access to these databases will be available from wherever people are in Ontario; at home, work, or school. The variety of information to be found in the databases will satisfy the youngest school child, the researcher in a university lab; in fact any citizen of Ontario. The databases roll out across the province beginning in January. Users authenticated on a library system through the web will have access to the astonishing range of information to be found in the databases. To preview the databases, which will be available through Knowledge Ontario, go to
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.274 | 0.061 |
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".