Foreword: Public Library Beginnings in Saskatchewan
Bibliographic record
Abstract
London (England) Mechanics' Institute. 1 By 1828 the Montreal Mechanics' Institute had opened, followed by Toronto's and Kingston's in 1831.These institutes could be joined for a small membership fee; evening lectures, lending libraries, and reading rooms allowed working-class people to learn technical and scientific principles underlying their trade, furthering self-education and enrichment.This concept inspired philanthropist Andrew Carnegie to generously fund public libraries around the world.Governments began to recognize the benefits of an educated society to the social and economic development of the country and used the model of mechanics' institutes in the establishment of early libraries through legislation and some funding.In 1895, London, Ontario, opened its first public library under the Free Libraries Act of 1882. 2 In 1890 The Mechanics and Literary Institutes Ordinance was passed by the Government of the North-West Territories.This legislation enabled public support for libraries wherever thirty persons
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.267 | 0.103 |
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".