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Record W20306274

Особенности условного осуждения, амнистии и освобождения от наказания

2012· article· en· W20306274 on OpenAlex
Michail Logvinov

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueПробелы в российском законодательстве. Юридический журнал · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Policy Issues
Canadian institutionsnot available
Fundersnot available
KeywordsSentenceObligationPunishment (psychology)LawStatutory lawQuarter (Canadian coin)Criminal codePolitical sciencePrisonPsychologyCriminal lawSocial psychologyComputer scienceHistory
DOInot available

Abstract

fetched live from OpenAlex

The conditional sentence is the exemption from punishment under specific conditions, so according to its severity, it cannot and should not be compared with the real measures of punishment. Elements of compulsion inherent in suspended sentence, lie in the possibility of imposing a court on a person convicted of reference (h. article 4. 73 of the CRIMINAL code of the RUSSIAN federation) and in the implementation of the it control during the probationary period (art. 188 OF THE PENAL CODE). Assignment of responsibilities is a right and not an obligation of the court. According to this criterion, we can distinguish two types of conditional sentence with the imposition of duties and without such disqualification. Scholars and practitioners unanimously recommends that impose on the convicted conditionally statutory duties, however, the courts often ignore the law. The survey identified about a quarter of prisoners (26, 3%), with sentences which contained no mention of any assigned to them responsibilities, and not because of the fact that they did not need much attention paid to them by the supervisory authority.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.677
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0010.003
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.010

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 head0.071
GPT teacher head0.433
Teacher spread0.362 · 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