Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Bibliographic record
Abstract
Welcome to JCDL 2004! This is the fourth in a series of IEEE-CS/ACM joint conferences on digital library research and development. Global reach and diverse impact are the two themes of this year's international forum focusing on digital libraries and the associated technical, practical, theoretical and social issues.This year's conference boasts a record number of 249 submissions and will present papers, posters, and demonstrations from Australia, Brazil, Canada, China and Taiwan, Japan, the Netherlands, New Zealand, Portugal, the United Kingdom, and the United States. From 114 full papers and 90 short papers, the Program Committee selected 34 full and 27 short papers for presentation; these papers have been revised with input from the panel of reviewers and are included in the proceedings. As in previous years, the prestigious Vannevar Bush Best Paper Award will be presented by the Program Committee in honor of Dr. Bush, the founder of the National Science Foundation who developed the idea of the Memex, an early conceptualization of a scholar's workstation and data store. JCDL 2004 is host to three other awards as well:oIEEE-CS Technical Committee on Libraries, Best Student Paper Award for the JCDL 2004 Conference, oBest International Paper Award, to be presented by the University of Arizona, oBest Poster Award, to be presented by the University of Arizon.In addition to the full and short papers, the conference presentations will include 15 demonstrations, 35 posters and 4 panels, which explore an especially broad selection of topics. The tutorials and workshops also add an important dimension for many conference participants and provide in-depth treatment of emerging and relevant topics. The program's keynote addresses, by Vint Cerf and Joel Birnbaum, provide conference participants with further intellectual stimulation. This year, a closing panel discussion entitled Digital Libraries Settling the Score: 10 Years Hence and 10 Years Before, by acknowledged experts in the field, will examine future funding options and set the stage for further dialogue and research.The purpose of JCDL is to provide a forum where researcher and practitioner alike may learn about novel and important developments, exchange ideas, and discover something new, whether in computer science, librarianship, or the social sciences. We hope that these proceedings will further extend the spread of ideas presented at the conference and provide a true global reach.
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.
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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.020 | 0.009 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.319 | 0.230 |
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".