NationalCore LibraryStatistics Program:
Bibliographic record
Abstract
this report are solely the responsibility of the authors, as are any errors or omissions. The authors are indebted to the University of Alberta's School of Library and Information Studies for administrative and financial support for the 1996 project. The authors also acknowledge, with thanks, the hundreds of librarians and other staff who have contributed to the National Core Library Statistics Program over the first three years of its existence. vii Executive Summary Canada's National Core Library Statistics Program is designed to capture several key indicators of the broad impact on Canadian society of library services provided by the public, academic, and special library sectors. Library service impacts are broadly organized into cultural and economic. A total of 1,643 libraries participated in the 1996 survey. The survey shows that librarians participating in the National Core Library Statistics Program for 1996 provided impressive cultural and economic benefits to the people of Canada that year: . 276 million publications (print and other materials) were borrowed by library users and an additional 90 to 140 million items were consulted on site, for an overall average of more than 1 million items in use every day of the year . another 1 million items were borrowed by librarians from other libraries to satisfy library user requests for materials . an infrastructure of more than 25,000 library staff, more than 280 million publications, 850,000 serial subscriptions, and 4,000 service points . $1.4 billion in total expenditures to provide library services. The economic purchasing power of Canadian librarians in the public, academic, and special library sectors is especially notable. So too is their determined investment in collection infrastructure: more than $32...
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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 | 0.018 | 0.093 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.012 | 0.029 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.251 | 0.165 |
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".