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
Unrestricted information flows are a key security weakness of current web design. Cross-site scripting, cross-site request forgery, and other attacks typically require that information be sent or retrieved from arbitrary, often malicious, web servers. In this paper we propose Same Origin Mutual Approval (SOMA), a new policy for controlling information flows that prevents common web vulnerabilities. By requiring site operators to specify approved external domains for sending or receiving information, and by requiring those external domains to also approve interactions, we prevent page content from being retrieved from malicious servers and sensitive information from being communicated to an attacker. SOMA is compatible with current web applications and is incrementally deployable, providing immediate benefits for clients and servers that implement it. SOMA has an overhead of one additional HTTP request per domain accessed and can be implemented with minimal effort by application and web browser developers. To evaluate our proposal, we have developed a Firefox SOMA add-on.
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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 it