Summary of the second ICSE workshop on web engineering
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
The series of workshops on Web Engineering started in 1998 with the World Wide Web Conference WWW7 in Brisbane, Australia, and has continued with WWW8 (Toronto, 1999) and WWW9 (Amsterdam, 2000). The first such workshop with the International Conference on Software Engineering (ICSE) took place in 1999 in Los Angeles. The second workshop was held on 4-5 June 2000 in Limerick, Ireland and attracted about 30 participants.The main purpose behind these workshops is to share and pool the collective experience of people, both academics and practitioners, who are actively working on Web-based systems.This workshop consisted of two keynote addresses, 11 contributed papers and two sessions of open discussions. The call for papers elicited 18 submissions of which 11 were accepted after peer reviews. The papers presented at the workshop appear in the book Web Engineering (San Murugesan and Yogesh Deshpande (eds.), LNCS, Springer-Verlag, 2000).
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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