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 Article proposes an economic framework with which to analyze the U.S.'s electronic privacy laws in the context of international privacy standards.A key assumption is that electronic privacy generally exists in tension with the speed and convenience of e-commerce: if privacy protections are too strong, e-commerce will suffer.At the same time, however, this Article shows that consumers expect a certain basic level of privacy when they conduct electronic transactions.A government that fails to provide this certain level of privacy effectively weakens the e-commerce industry.This Article concludes the United States has failed to guarantee sufficient privacy protections and that, by learning from the E.U. and Canada, the U.S. can increase both personal privacy and the effectiveness of e-commerce by enacting comprehensive electronic privacy laws.8 "Who will watch the watchmen?"9 There are many excellent sources that summarize the E.U., U.S., and Canadian privacy
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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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