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
Sascha Preibisch has been involved in enterprise-grade software development since 2005. He worked as a consultant in Switzerland where he helped customers expose SOAP-based web services in a secure way. Today, as software architect for CA Technologies in Vancouver, Canada, he works with customers who expose RESTful services. He advises customers in the usage of OAuth, OpenID Connect, mobile API security, and SSO between mobile and desktop applications. Sascha regularly attends the Internet Identity Workshop (IIW) in Mountain View, California, USA, which is the birthplace of OAuth 2.0 and OpenID Connect. He is a member of the OpenID Foundation. He maintains a blog on all aspects of API development, and he wrote a short book about a software framework (Application Development with XML, Eclipse RCP, and Web Services). Sascha holds a patent on a secure mobile app registration protocol.
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 | 0.003 | 0.001 |
| 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