Modelling the Sharing of Resources across Collaborative Sessions
Bibliographic record
Abstract
Service-oriented architectures can be used to provide multiple simultaneous sessions to users that wish to communicate over a variety of media. This gives rise to rich, highly effective communication sessions that can greatly enhance userspsila interaction. For example, a health services virtual organization seeks to use such tools for a variety of purposes: virtual patient simulation, anatomical visualization and virtually sharing cadaveric dissections. We propose SAVOIR, Service-oriented Architecture for Virtual Or- ganization Resource and Infrastructure for this task, where tools and applications are resources and they can be accessed and controlled via Web Services. The purpose of this paper is to present a method for modeling sessions in SAVOIR by using Web Ontology Language (OWL). We express in OWL 1.1 constraints on when sessions can and cannot be run or cannot be run concurrently with the ses- sions now running. There are several types of violations: aggregate bandwidth may exceed capacity, network infras- tructure may not be available, too many users may want to access a limited shared resource, etc. The session scheduler depends on the OWL 1.1 description logic reasoner to evaluate the session for violation of these constraints before the session is allowed to be scheduled.
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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) | 0.000 | 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 | 0.001 | 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 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".