Bibliographic record
Abstract
Purpose This paper discusses the importance of incorporating licensing issues in access policies for electronic resources in research libraries. The implications for patron understanding of basic legal issues and the role of the library in managing and acquiring these resources are investigated and discussed. Design/methodology/approach A survey of various research libraries was undertaken to examine what is provided to patrons in terms of conditions of use for electronic resources. Literature relating to the management and provision of electronic resources was examined. Findings It was found that few libraries provide key licensing information to their patrons. This has important consequences in terms of the patron's lack of awareness of restrictions on use, as well as the costs, complexity, and consortial involvement in acquiring these resources. Research limitations/implications A comprehensive international review of the trends and practices of research libraries regarding access policies and licensing issues would build upon this paper's findings. Practical implications Library patrons are not receiving adequate information about the resources they are using. If more research libraries would consider what licensing information is made available to patrons, there could be changes in patron understanding and perception of the library. This will impact the profile of the library in academia, and the changing role of librarians in collection development in the digital environment. Originality/value The paper will be of value to research libraries involved in the acquisition, management and delivery of electronic resources to its patrons, and to librarians involved in collection development and management.
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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 | 0.073 | 0.238 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.010 | 0.020 |
| Scholarly communication | 0.026 | 0.029 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".