Bibliographic record
Abstract
The future fourth generation (4G) of the satellite-based wireless and mobile communications is particularly important for global providing of the mobile broadband global information technologies (IT) multi-services and mobile e-applications (m-applications) for geographically dispersed mass users in support of anytime, anywhere, and any required quality of service (QoS) capabilities in a low-cost way. The recent broadband satellite systems described in Ivancic et al. (1999), Evans et al. (2005), Skinnemoen, Vermesan, Iuoras, Adams, and Lobao (2005) are based mainly on centralized low-meshed architecture with very high traffic concentration. Such structure is not adequate in context of the traffic topology for rural, remote, and difficult for access (RRD) regions. Markhasin (2001) noted that the cost of centralized systems is unacceptably large for deployment of future mass broadband communications in RRD regions (North Siberia, Scandinavia, Greenland, Canada, Alaska, Central and South East Asia, South America, Australia, etc.). As it was shown in Markhasin (2001, 2004), the future low-cost IT multi-service platforms for RRD regions can be built optimal on a mix of the terrestrial and satellite-based mobile and wireless communications with radically distributed (neural-like) all-IP/ATM architecture that requires breakthrough steps for search advanced satellite, mobile, and wireless 4G technologies. Markhasin (1996) and Frigon, Chan, and Leung (2001) noted that the improvement of medium access control (MAC) protocols has a dominant effect on ensuring the breakthrough features of future QoS-aware mobile and wireless technologies. The survey and analytical comparison of the fundamental principles of QoS-oriented MAC protocols were described in Markhasin, Olariu, and Todorova (2004, 2005). The radically novel multi-functional MAC technology (MFMAC) for long-delay space mediums with fully distributed dynamic control of QoS, traffic parameters, and bandwidth resources was proposed in Markhasin (2001, 2004). This article will be focused on future QoS-aware, satellite-based, fully distributed, mesh, and scalable mobile IT multi-service and m-Applications platform’s networking technology 4G for RRD regions.
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How this classification was reachedexpand
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 teacher head, 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".