E-books in the Sciences: Gauging Faculty and Graduate Students Needs: SLA 2009 Paper
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
Canadian Universities are diverting an increasing amount of their budget to acquire e-books. E-books in pure and applied sciences are available from different content providers and publishers. The academic community at York University, Toronto has access to an ever increasing number of e-books that provide different value-added features to search and manipulate content inside these e-books. These additional features may have a bearing on the usage and promotion of e-books. Results from Steacie Science Engineering library’s online e-books survey, conducted in fall 2008, gives us an indication of the reading habits of faculty members and graduate students. Graduate students are more aware of subscribed e-books than faculty members and both groups use the library catalogue to find e-books. Both groups were surprised by the number of e-books available from the libraries website. Students also commented that they wanted more textbooks and solutions manuals in electronic format.
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 | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.013 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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