Proceedings of the 25th International Conference Companion on World Wide Web
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 25th International World Wide Web Conference, WWW 2016. For more than two decades, WWW has been the premier venue for researchers, academics, businesses, and standard bodies to come together and discuss latest updates on the state and evolutionary path of the Web. The conference program of WWW 2016 consists of 11 tracks for refereed research papers, as well as a poster track, a demonstration track, a developers track, an industry track, a Ph.D. symposium track, panels, tutorials, workshops, and a W3C track. Several co-located and special events will also be part of the general program. As in previous years, updates and changes were made to ensure that track topics correctly reflect the key research areas of interest in the WWW community. The research tracks are: Behavioral Analysis and Personalization Content Analysis Crowdsourcing Systems and Social Media Economics and Markets Mobility Security and Privacy Semantics and Big Data Social Networks and Graph Analysis Web Mining Web Science Web Search Systems and Applications The research tracks attracted submissions from all over the world. Submissions were rigorously reviewed, with each paper receiving at least three reviews. During a discussion phase, reviewers and track chairs discussed reviews in detail. For consistency across tracks, final decisions on papers were made at a face-toface PC meeting of all track chairs and the PC chairs. Of the 727 papers submitted to the research tracks, 115 were accepted for an acceptance rate of less than 16%.
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 | 0.001 |
| 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