Proceedings of the 2006 ACM International Workshop on Mobility Management and Wireless Access (MobiWac 2006)
Bibliographic record
Abstract
It is our great pleasure to welcome you to the 4 th ACM International Workshop on Mobility Management \nand Wireless Access – MobiWac 2006. Continuing the tradition of previous MobiWac editions in Fort \nWorth (TX), Philadelphia (PA) and Maui (Hawaii), this year’s workshop testifies the maturation, relevance \nand interest on mobility management and wireless access research activities. The workshop is a forum for \nthe discussion and presentation of original ideas, recent results and achievements by researchers, students, \nand system developers on issues and challenges related to mobility management and wireless access, at \nmany layers and under different technology viewpoints. The mission of the workshop is to give researchers \nand practitioners a unique opportunity to share and enlarge their perspectives and ideas with others, by \nenjoying a stimulating program. \nThe call for papers attracted more than 60 submissions from Asia, Canada, Europe, Africa, and the United \nStates. The program committee accepted 18 papers, which represent a 30% acceptance rate, and cover a \nvariety of topics, including wireless and mobile broadband access, wireless ad hoc, vehicular, mesh and \nsensor networks, next generation wireless systems, wireless Internet access, mobility control and \nmanagement, mobile services, QoS management, localization and tracking, channel and resource \nallocation, context-aware services and applications, energy and power management. In addition, the \nprogram includes a poster session that will host more than 10 relevant paper contributions on the same \ntopics. The accepted papers are from 17 countries (US, Canada, Taiwan, Greece, Germany, Spain, Japan, \nPortugal, Brazil, Australia, Korea, Italy, United Kingdom, France, Belgium, Tunisia, Luxembourg), a fact \nthat reflects the global and true international nature of the workshop. We hope that these proceedings will \nserve as a valuable reference for researchers and developers of wireless systems and mobile applications \nand services.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.063 | 0.046 |
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".