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
According to the third-party doctrine, a person has no reasonable expectation of privacy in information that has been shared with others—including a bank, phone company, or credit card company. The doctrine got its start through an appeal to a locatable observer who corresponds, in literary terms, to a narrator with a limited perspective. This is the kind of perspective that courts have traditionally emphasized when explaining how to assess probable cause. The third-party doctrine turns the limited perspective into an omniscient one. The doctrine takes apparently private conduct and classifies it as public, effectively treating the perspective of the “arresting officer” as if it could encompass large quantities of information, widely distributed in space and time. The discussion here examines a recent defense of the third-party doctrine that similarly collapses the limited and omniscient viewpoints. Then, after exploring the narrative analogy by reference to literary analyses of the omniscient narrator in Victorian fiction, the discussion ends by considering the analogy in relation to contemporary modes of omniscient narration.
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 | 0.002 | 0.001 |
| 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