Self-regulating organizations of professional participants of the securities market abroad and in Russia: role, types, features of activity
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
В статье рассмотрено понятие «саморегулируемая организация», определена нормативно-правовая база. Также рассмотрены существующие в настоящее время модели осуществления саморегулирования. Кроме того, проведен сравнительный анализ саморегулируемых организаций в зарубежных странах, таких как США, Япония, Канада. На основе анализа выявлены основные недостатки, предложены меры по их устранению. The article considers the concept of "self-regulating organization" and defines the regulatory framework, as well as the currently existing models of self-regulation. In addition, a comparative analysis of self-regulatory organizations in foreign countries, such as the USA, Japan, Canada, was carried out. Based on the analysis, the main shortcomings are identified, measures to eliminate them are proposed.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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