New directions in digital information delivery in the web environment at the NRC Canada Institute for Scientific and Technical Information
Bibliographic record
Abstract
Purpose: In 2007, NRC-CISTI launched two new online electronic discovery services, Discover and eBook Loans. This is just the beginning of changes at NRC-CISTI. The paper describes the new services, NRC-CISTI’s plans for transforming document delivery and the importance of these emerging business models for libraries. Design/Methodology/Approach: The paper is conceptual in nature, describing the Discover and eBook Loan services, discussing NRC-CISTI’s plans for transformation from print to electronic document delivery and the impact of the growing dominance of electronic literature, on library resource sharing models. Findings: The new breed of Web-based user oriented services have aroused different reactions in the library community, some very positive, some neutral, some negative. As NRC-CISTI embarks on more changes to its services it will work within the library community to make these services relevant to their needs. Originality/Value: Newly emerging information delivery services related to the digital landscape underlines the richness of new ideas in the library community to improve access to scholarly literature for users.
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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 | 0.019 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.012 |
| Science and technology studies | 0.010 | 0.011 |
| Scholarly communication | 0.026 | 0.013 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.033 | 0.006 |
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".