Proceedings of the 22nd ACM international conference on Information & Knowledge Management
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
On behalf of the organizing committee, it is our great pleasure to welcome you to the 22nd ACM International Conference on Information and Knowledge Management (CIKM 2013) in San Francisco! CIKM is a premier ACM conference in the areas of information retrieval, knowledge management and databases. Since 1992, it has successfully brought together leading researchers and developers from the three communities. The purpose of the conference is to identify challenging problems facing the development of future knowledge and information systems, and to shape future research directions through the publication of high quality applied and theoretical research findings. In CIKM 2013, we continue the tradition of promoting collaboration among multiple areas and providing a leading forum in which experts from academia, industry, and government gather to exchange ideas, research results, and technical developments in multidisciplinary research areas. As one of the world's most recognized conferences in the field, this year CIKM received 848 valid full paper submissions, 233 poster submissions, and 57 demonstration submissions. Among them, we accepted 143 full papers (16.86% acceptance rate), 107 short papers, 81 posters and 21 demos. In addition to regular research tracks, CIKM 2013 features 4 keynote speakers, a panel on Big Data, dedicated Industry events featuring 10 leading industrial practitioners, 10 tutorials from nprestigious researchers and 14 workshops on cutting-edge areas of research. This is a great demonstration of the lively research areas that contribute to the CIKM area. We are proud of our final program and gratefully thank all authors, invited speakers and organizers who chose to contribute their time and research to CIKM 2013. We are honored to present four distinguished keynote speakers to attendees: Ronald Fagin, Lee Giles, Carlos Guestrin, and Alon Halevy. Their valuable, insightful and interdisciplinary talks will guide us to a better understanding of the field.
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 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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