The University of Calgary Library: The First 40 Years and Onwards: Focusing on the History of MacKimmie Library and Collection Development in the Special Collections Division
Bibliographic record
Abstract
The goal of this study is to chronicle the history of the University of Calgary library system, from its beginnings as a sub-branch of the University of Alberta, its distinction as an independent academic body in 1966, and its continued expansion, growth, and “enlightened centre of higher learning we know today” (Li, 2001). In particular, focus will be on the history and collection development of MacKimmie Library’s Special Collections Department, drawing upon the expertise and first-hand testimony of librarians and specialists in the field. It is believed that this study will successfully promote the awareness of this academic institution’s library and provide the opportunity to “celebrate what we have achieved (in the first 40 years) and look forward to where we are going in the future” (Weingarten, 2005).
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How this classification was reachedexpand
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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".