A review of the status of 20 digital libraries
Bibliographic record
Abstract
Recent proliferation of research in digital libraries has given rise to a number of working digital libraries around the world. These digital libraries have been defined, designed and developed differently and therefore the experience that one might have from one particular digital library might not be the same with other digital libraries. Current status of 20 digital libraries around the world: twelve from the USA, three from the UK, two from Australia, one from New Zealand, one from Singapore and one from Canada, has been reviewed. Various features of these selected digital libraries were collected from their home pages, journal articles and the information published on the World Wide Web. The parameters used to study the chosen digital libraries include: contents, type of library, organisation, user interface, access, information retrieval, search features, output format and links to other Internet resources. While some of the chosen digital libraries cater for specific subject or document format, others play the role of digital as well as virtual libraries, giving access to the local digital collection as well as remote collections accessible through the Web. While most of these digital libraries have been developed for use in-house or by authorised users, some digital libraries are globally accessible. The chosen digital libraries differ in terms of the information search and output facilities; very few have the facility to store search histories. Only four digital libraries have books in electronic form: National Library of Canada in general area, GUTENBERG in subject-specific area and SETIS and Carnegie Mellon University in special collection areas. The review confirms that while digital libraries to date have been quite useful, there is need for further improvements in terms of user interfaces and information facilities. Additionally, this study reveals that two different types of digital libraries are likely to emerge in future. The first are subject- and document-specific digital libraries that will cater for specific subjects and types of information, like digital video, maps, photographs and paintings, theses, and so on. The second are hybrid libraries that will link the traditional libraries with its online public access catalogue (OPAC), CD-ROM and online databases to the world of digital libraries and virtual libraries or gateways. The provision of personalised information services is an emerging trend in digital libraries to provide the next higher level of functionality to support users’ specific information needs and preferred search and retrieval strategies.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.021 | 0.029 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".