Availability of electronic libraries in the health sciences in the Arabian Gulf region
Bibliographic record
Abstract
Health sciences libraries the world over have experienced an increase in the popularity and use of electronic resources in their collections. As the Internet has begun to invade even the remotest of areas, libraries in the health sciences are experiencing ever-increasing pressure to expand into the electronic environment. The Arabian Gulf region is no exception. In the Gulf Cooperation Council (GCC) countries (United Arab Emirates, Saudi Arabia, Bahrain, Qatar, Kuwait, and Oman) libraries are asked to serve the information needs of health practitioners with a diverse range of financial, electronic, and human resources. In some countries, both funding and infrastructure are excellent. In others, a lack of hardware, software, or financial resources have taken their toll on services. Through the use of online and fax questionnaires, this paper examines the availability of electronic resources in health libraries in the Gulf region and will look at the state of the art for such characteristics of digital libraries as a significant Web presence, ability to access resources at a distance, and the provision of library services using electronic media.
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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 | 0.004 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".