Bibliographic record
Abstract
This chapter provides a brief overview of issues libraries are confronting as they attempt both to embrace the opportunities of global networked information and to balance these with traditional resources and demands. The context in which Canadian libraries operate and uniquely Canadian approaches to digital library activities are reviewed. The federal government’s Connecting Canadians agenda has focussed on connectivity, but attention is shifting also to support of the creation of content. The federal department Industry Canada has been funding, within a job creation and skills development strategy, the creation of digital content by Canadian youth. The National Library is building an electronic collection of Canadiana and various other digital products and services. Substantial digital collections such as the collaborative project Early Canadiana Online are emerging. Canada’s activities, which are not currently on scale with the United States or some other countries, remain largely a result of local initiative. It is hoped that increased provincial or national coordination, collaboration and funding will strengthen our libraries’ role in the delivery of networked information services.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.017 | 0.015 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.032 | 0.005 |
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".