Die Struktur des kanadischen Bibliothekssystems analysiert anhand von Beispielen aus der Provinz Alberta und British Columbia
Bibliographic record
Abstract
In dieser Bachelorarbeit wird das kanadische öffentliche Bibliothekssystem mit besonderem Fokus auf die Provinz Alberta und British Columbia analysiert. Die Arbeit ist in mehrere Kapitel gegliedert, beginnend mit der Geschichte und Geografie Kanadas sowie eine Vorstellung Kanadas als Einwanderland. Darüber hinaus befasst sich die Arbeit mit verschiedenen kanadischen Bibliotheksverbänden, sowie dem Shortgrass Library System in Alberta, dem Alberta Libraries Act, dem TRAC Netzwerk und der ME Libraries Card. In der Bachelorarbeit wird unter anderem der British Columbia Library Act sowie die drei Bibliothekssysteme Vancouver Public Library, Vancouver Island Public Library System und das Fraser Valley Regional Library System vorgestellt. Abgeschlossen wird die wissenschaftliche Arbeit mit einer Darstellung der Unterschiede sowie Besonderheiten des Bibliothekssystems in Alberta und British Columbia.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.015 | 0.056 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.016 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".