Learning From Others: The Scalia-Breyer Debate and the Benefits of Foreign Sources of Law to U.S. Constitutional Interpretation of Counter-Terrorism Initiatives
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
Abstract The article discusses the importance of using foreign sources in the constitutional interpretation of counter-terrorism initiatives. By reviewing the Arar case, the author underlines the value of Canadian jurisprudence to evaluating extraordinary rendition. The similarities between the Arar and El Masri cases underscore the weakness of the current standard adopted by American judiciary in evaluating extraordinary rendition. The article further draws on the Israeli experience in dealing with torture. American jurisprudence will be greatly improved if it directly discusses the strengths and weaknesses of the Israeli debate in its own constitutional interpretation. In totality, American jurisprudence has an incredible untapped resource in the experiences of other countries on addressing problems that Americans would likely see as unique.
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 | 0.003 |
| 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 | 0.000 |
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