Comparing Safari Tech Books Online and Books24х7 E-book Collections: A Case Study from the University of British Columbia Library.
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
Most academic libraries are seeking to provide electronic access to the very dynamic and changing field of technology related material. Safari Tech Books Online and Books24x7 are the major e-book collections in this area. We compared the Safari Tech Books Online and Books24x7 e-book packages as to their usefulness for the University of British Columbia Library, second largest academic library in Canada. In our sample, we found that Books24x7 had more titles to offer (25% more); the overlap between the collections was relatively small (13-16%) and publishers varied considerably; and although there were no major differences in the "usefulness" measures of the titles in the two packages (Amazon.com ratings, WorldCat holdings and Reviews.com reviews were quite similar for both packages), O'Reilly titles, available only through Safari Tech Books Online, were held by a slightly higher number of libraries worldwide. We conclude that in order to have comprehensive coverage of this constantly changing area of knowledge, a large research academic library needs to subscribe to both collections. If subscribing to both collections is not an option, we recommend selecting a package based on the pricing that the library can negotiate with ProQuest, the vendor of both products, since the collections are complimentary in their nature. [ABSTRACT FROM AUTHOR]
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Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | medium |
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 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 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