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Record W2898664479 · doi:10.5539/ilr.v7n1p260

Fair Treatment of the Victim in the Code of Criminal Procedure

2018· article· en· W2898664479 on OpenAlexvenueno aff
Hassan Vahedi

Bibliographic record

VenueInternational Law Research · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Illicit Activities, and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsCriminal justiceLegislatorPolitical scienceCriminologyStatuteLawCriminal codeCriminal procedureInstitutionFair useCriminal lawPsychologyLegislation

Abstract

fetched live from OpenAlex

Criminal justice institution undertakes the duty to investigate about legal cases and complaints, to issue the judgment and to enforce it on time through proper hearing and without any dely. Such actions can play an effective role in reducing the possibility of delinquency and victimization. As an essential element of procedure, victimization has not succeeded to recover its real right. Many criminologists have focused their researches on victims to solve the riddle of victimization and etiology of crimes. Criminologists also intended to assess victims’ roles and shares in the process of crime commission. In addition, they intend to amend criminal provisions based on a victim-based approach to protect the victims through establishing new criminal institutions. Because of this, criminal justice system will change due to the effects of revolutions of victimization considered as the central core. This has led to an increase in paying attention to the victim’s needs and rights in criminal system. The necessity of protecting the victim has not yet been recognized in Iranian statutes. This issue has not a place in criminology researches in Iran. However, we can observe the existing shortages in the area of protecting the victim and their status in Procedure Code through studying the victim’s role. The author of the present article has studied the necessity of establishing special institutions to fill the existing gaps considered by Iranian legislator in New Criminal Procedure Code 2013. The author has also dealt with the protection of victims based on literature review, library search and related sources.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.891
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.154
GPT teacher head0.469
Teacher spread0.315 · 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 teacher head, 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
Published2018
Admission routes1
Has abstractyes

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