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Record W3157479619 · doi:10.1177/20322844211008232

“Victims’ participation rights in the post-sentencing phase: The Netherlands in comparative perspective”

2021· article· en· W3157479619 on OpenAlexaboutno aff
Alice Bosma, M.S. Groenhuijsen, Max de Vries

Bibliographic record

VenueNew Journal of European Criminal Law · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsAcknowledgementLegislaturePerspective (graphical)Political scienceGermanPosition (finance)PrisonHuman rightsCriminologyLawSociologyBusinessGeographyComputer security

Abstract

fetched live from OpenAlex

Victims’ rights have proliferated rapidly over the past decades. However, the development of rights in the post-sentencing phase has lagged behind. In this article, we argue that victims’ rights may contribute to the acknowledgement of victims, something that victimological research suggests is important for victims’ well-being at every stage of criminal proceedings. We review a new Dutch law and a legislative proposal aiming to improve victims’ rights in the post-sentencing phase in relation to conditional release from prison and conditional discharge from forensic psychiatric hospital. More specifically, we compare these (proposed) victims’ participatory rights with those existing in the Canadian, Belgian and German framework. We argue for a strengthened position of the victim in the post-sentencing phase. We close by showing that the practical effectiveness of these proposed rights is put at risk by COVID-19 and states’ response to the same.

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)0.009
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.121
Threshold uncertainty score0.240

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0050.009
Scholarly communication0.0090.008
Open science0.0020.004
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.074
GPT teacher head0.390
Teacher spread0.316 · 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 designObservational
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

Citations29
Published2021
Admission routes1
Has abstractyes

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Same venueNew Journal of European Criminal LawSame topicCriminal Justice and Corrections AnalysisFrench-language works237,207