MétaCan
Menu
Back to cohort
Record W3159675323

Beijing Reform – The Extent of Criminalization and Recommendations for the Polish Lawmaker (Po reformie pekińskiej – zakres kryminalizacji i wskazania dla ustawodawcy polskiego)

2014· article· pl· W3159675323 on OpenAlexaboutno aff
Jan Walulik

Bibliographic record

VenueSSRN Electronic Journal · 2014
Typearticle
Languagepl
FieldSocial Sciences
TopicEuropean Criminal Justice and Data Protection
Canadian institutionsnot available
Fundersnot available
KeywordsConventionPolitical scienceBeijingCriminalizationLawTheologyPhilosophyChina
DOInot available

Abstract

fetched live from OpenAlex

English Abstract: This paper is a detailed study of the differences between the Montreal Convention 1971 (as amended by the 1988 protocol) and the Beijing Convention 2010, and between the Hague Convention 1970 and the Beijing Protocol 2010, which amends the latter convention. The broadened scope of criminalisation in the 2010 instruments and the newly defined forms of international crimes are discussed. This includes a commentary on the drawbacks of the existing treaties and on their reform. Shortfalls of the Beijing Convention and the Beijing Protocol are also pointed out. Additionally, the compatibility of Polish criminal law with the current international provisions and with the 2010 international instruments is considered. In both instances, specific amendments to national regulations are recommended. Polish Abstract: Artykul wykazuje roznice pomiedzy konwencją montrealska z 1971 r. (zmienioną protokolem z 1988 r.) a konwencją pekinską z 2010 r. oraz pomiedzy konwencją haską z 1970 r. a protokolem pekinskim z 2010 r. (zmieniającym te konwencje). Szczegolowo omowione jest poszerzenie zakresu przedmiotowego przestepstw miedzynarodowych, a takze zmiany dotyczące ich form stadialnych i zjawiskowych oraz strony podmiotowej. Skomentowano tez usuniecie mankamentow dotychczasowych regulacji. Tekst wskazuje na pewne braki aktow konferencji pekinskiej. Ponadto przedmiotem rozwazan jest kompatybilnośc polskiego prawa karnego z dotychczasowymi oraz zreformowanymi normami miedzynarodowymi. W obu przypadkach artykul wskazuje na potrzebe pewnych zmian w regulacji krajowej.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.098
Threshold uncertainty score0.194

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.006
Scholarly communication0.0070.006
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.030
GPT teacher head0.313
Teacher spread0.283 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueSSRN Electronic JournalSame topicEuropean Criminal Justice and Data ProtectionFrench-language works237,207