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
This chapter intends to provide a comprehensive overview of the allocation of cases based on geography in civil and common law jurisdictions. Given the impracticality of conducting an exhaustive study of every jurisdiction, the chapter will focus on illustrative jurisdictions such as the United States, England and Wales, Canada, Australia, Singapore, India, South Africa, Mainland China, Taiwan, Hong Kong, Macau, France, Germany, Norway, Poland, Estonia, Italy, Russia, Belgium, Egypt, Algeria, Tunisia, Dubai, Iran, Turkey, Brazil, Argentina, Colombia, Venezuela, Costa Rica, Cuba, Mexico, Japan and South Korea. Additionally, the chapter will include supplemental commentary on other jurisdictions that provide interesting contrasts. The chapter will proceed thematically rather than by jurisdiction and will analyze geographic jurisdiction along various dimensions. This chapter proposes that geographical jurisdiction is influenced by three key factors, (1) national sovereignty; (2) the balance of plaintiff and defendant interests; (3) forum interests.
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 | 0.001 | 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 it