Міжнароднии досвід оцінки висновку експерта як джерела доказів
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
Based on a comparative legal analysis of the legal norms of the Anglo-American system of law countries (USA, Canada, Great Britain, Australia, etc.), Continental (Italy, Germany, Netherlands, Russia, Ukraine and other countries) and the Far Eastern system (for example, China), that regulate the assessing evidence procedure (including expert opinions) by the criterion of reliability, it has been established that in all these countries, except for Ukraine,always is engaged an independent professional with specialized knowledge of the relevant field to assist in assessing the credibility of the expert opinion. It has been proven that the legalization of reviews of expert opinions in Ukraine would allow the defense to independently collect evidential information and assess the reliability of the expert's opinion as a source of evidence, which, in turn, would reduce the likelihood of investigative (judicial) errors and would contribute to the realization of the rights of individuals to fair justice.
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 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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