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Record W4205991489 · doi:10.17762/de.vol2022iss1.8686

Shedding a Light on the Rights of the Accused: An Indian Perspective

2022· article· en· W4205991489 on OpenAlexvenueno aff
Samrat Datta Rupam Jha

Bibliographic record

VenueDesign Engineering · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLawPerspective (graphical)Political sciencePeriod (music)FaithCover (algebra)Good faithPhilosophyEngineering

Abstract

fetched live from OpenAlex

In this article, the author has endeavored to shed a light on the numerous provisions and rights conferred to a person accused of a crime. These rights encompass all the rights that an accused enjoys throughout his trial, from the very moments of his arrest to the period of a legal trial, and to the period of incarceration as an undertrial prisoner, ending just before the outcome of the trial. The article is an attempt to trace and analyze the practice of submitting evidence and documents by way of a sealed cover. The paper also puts forth the effects that the said practice has had on the rights of the accused and also sheds light on the effect of the said practice on the public faith in the judicial system, through the lens of decided cases both recent and old.

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)0.023
metaresearch head score (Gemma)0.025
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: Empirical · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0160.110
Scholarly communication0.0290.013
Open science0.0040.010
Research integrity0.0090.019
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 head0.023
GPT teacher head0.253
Teacher spread0.230 · 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
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
Published2022
Admission routes1
Has abstractyes

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