Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The e-book landscape is in a constant state of flux. More recent developments include new acquisition models, advances in platform usability and navigation, more lenient DRM provisions, and improvements to simultaneous user access licenses. However, what has not been addressed recently are the inequalities in e-book access for libraries across the world due to ‘primary rights.’ Territorial rights versus world rights is a licensing issue affecting libraries globally, and yet little is being done to address the inequalities of access. Join our discussion that will examine the ‘unavailable in your country’ message libraries often see alongside e-book purchase options, review documented inflation and deflation in e-book prices over time, and learn about the delayed or limited e-book offerings for global libraries. Explore how we can ensure equal access to electronic books for libraries across the globe. Hear perspectives from libraries inside and outside of the U.S., as well as publisher thoughts on the topic, including the continued drawbacks for library e-book access they believe will continue. Where do these discussions need to occur and who can we educate on the importance of including international access clauses in licenses or publishing agreements? Although this issue may not be widely known by librarians in the U.S., the exclusivity of electronic content based on the geographical location or status of a country is a sharp contrast to many of the inherent beliefs that are foundational to our profession.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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 it