On the Premises and Beyond: Managing Copyright Policy Through Institutional and Technological Change
Bibliographic record
Abstract
Copyright issues are important to every library, large and small. Libraries, librarians, and library staff are protected by a host of exceptions and copyright rules that are often not followed correctly or at all. This article discusses easy, simple compliance with the laws protecting libraries from infringements made on the traditional library premises. Further, the library’s work is increasingly off‐site. From virtual consultations to delivering digitized materials off‐site, copyright law can affect the depth and breadth of online services that would otherwise be equivalent to in‐person patron services. The paper describes “virtual library premises” and discusses the legal ramifications of enhancing access to collections for off‐site patrons. The paper also explains how offering limited access to digitized in‐copyright collections affects library liability under the Copyright Act. It explores whether library premises are restricted to actual physical spaces or whether the concept of the reading room can be extended beyond the four walls of the traditional library.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.030 | 0.089 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.013 | 0.036 |
| Scholarly communication | 0.042 | 0.043 |
| Open science | 0.004 | 0.017 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 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".