Proceedings of the 21st ACM conference on Hypertext and hypermedia
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
It is our great pleasure to welcome you to the 21st ACM Conference on Hypertext and Hypermedia -- HYPERTEXT 2010. This year's conference continues the tradition of serving as the main venue for high quality, peer-reviewed, double-blind research on linking and interconnectivity, a tradition that now spans over two decades. The Web, the Semantic Web, Web 2.0 and Social Networks all demonstrate the value of the link concept. The conference continues to be an archival source for the latest work relating to hypertext, with a growing body of work that examines not only links between texts, documents, and media, but also between people. The Hypertext 2010 call for papers attracted 90 submissions from around the world, of which 33 were accepted, included 18 long papers and 15 short papers. The program committee accepted papers on a wide variety of topics, ranging from literary hypertext and hypertext theory to social networking and adaptive hypermedia. The program includes the opening keynote speech by Professor Andrew Dillon, Dean of the University of Texas I-School, and the closing keynote by IBM Fellow Dr. Irene Greif. In addition, the conference features four workshops, two panels, 20 posters, and 3 demos. We expect that these proceedings will serve as a valuable reference for those interested in hypertext research.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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