The role of the library in the first college year: the Canadian perspective
Bibliographic record
Abstract
Purpose The aims of this paper is to provide an overview on information literacy/library programs for first‐year students in Canadian universities and colleges. Design/methodology/approach The paper introduces and discusses periodical articles, monographs and up‐to‐date research on the subject. It presents anecdotal evidence gained from web site searches of 169 Canadian post‐secondary institutions complemented by personal communications from library and student services staff. Findings The study provides information about several types of library services for first‐year students currently in use in Canadian academic libraries. Originality/value There is no evidence of research in the area of library services for first‐year college and university students in Canada. This paper complements research on information literacy/library programs offered through academic libraries in other countries by focusing solely on first‐year student initiatives in Canadian academic libraries.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.011 |
| Science and technology studies | 0.018 | 0.010 |
| Scholarly communication | 0.016 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".