MétaCan
Menu
Back to cohort
Record W6982581057

The international legal status of federal entities as illustrated by the USA, Canada and the Russian Federation

2019· other· ru· W6982581057 on OpenAlexaboutno aff

Bibliographic record

VenueResearch Repository Saint Petersburg State University (Saint Petersburg State University) · 2019
Typeother
Languageru
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsRussian federationLegal statusLegislationGovernment (linguistics)State (computer science)
DOInot available

Abstract

fetched live from OpenAlex

Настоящая дипломная работа раскрывает особенности международно-правового статуса субъектов трёх федераций: Канады, США и России. Раскрывается связь понятий «международно-правовой статус» и «международная правосубъектность». Доказывается наличие у субъектов выбранных федераций наличие элементов ограниченной международной правосубъектности. Исследуется вопрос признания за субъектами федераций статуса субъектов международного права. Особое внимание уделяется анализу правовых основ международной деятельности субъектов трёх выбранных федераций. Выявлены и приведены примеры основных видов международной деятельности субъектов упомянутых федераций.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.098
Threshold uncertainty score0.290

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0090.008
Scholarly communication0.0080.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.013
GPT teacher head0.230
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueResearch Repository Saint Petersburg State University (Saint Petersburg State University)French-language works237,207