Bibliographic record
Abstract
New Web technologies, such as the semantic Web and the social Web, have changed the way services and information are accessed. These new technologies allow more usable and interoperable services to be realized. They help service providers to reach more individuals. Automatic service discovery and invocation can also benefit from these technologies.Unfortunately, several threats to security, privacy, and trust come along with these benefits. For example, making services interoperable increases the chance of profiling individuals, which constitutes a privacy threat. Security measures, such as access control, should handle the potential threats of opening previously encapsulated Web services.We present a new access-control model, guarantee-based access control (GBAC). The new model constructs certificates based on guarantees rather than attributes. These guarantees are then used as the basis for access-control decisions. The model also permits access rights to be based on a set of individuals in a particular structured relationship. Thus, GBAC resists threats to individuals' privacy, such as profiling, whether access decisions are based on the participation of one or more individuals. The model suits the open nature of new Web technologies.
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.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".