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Record W6931002898 · doi:10.5281/zenodo.16831925

Protection of Persons with Disabilities in a Comparative Legal Context

2025· article· en· W6931002898 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Policy Analysis in Indonesia
Canadian institutionsnot available
Fundersnot available
KeywordsLegal researchNormativeCriminal justiceContext (archaeology)Economic JusticeConvention on the Rights of Persons with DisabilitiesEnforcementLaw enforcement

Abstract

fetched live from OpenAlex

Legal protection for persons with disabilities in the criminal justice system is a fundamental aspect of human rights-based legal development. This study aims to conduct a comparative analysis of the forms of legal protection for persons with disabilities in Indonesia, Canada, and Germany. Through a normative legal approach and literature review, this study found that although Indonesia has ratified the Convention on the Rights of Persons with Disabilities (CRPD) and issued national regulations such as Law No. 8 of 2016, its implementation still faces various structural and cultural obstacles. Meanwhile, Canada has established a special court system (mental health courts) based on the principle of restorative justice, and Germany applies an individual justice approach that emphasizes a comprehensive assessment of the legal capacity of defendants. The results of the study show that the success of legal protection for persons with disabilities depends heavily on three key elements: a progressive legal framework, inclusive institutional support, and the capacity of law enforcement officials. Indonesia needs to immediately undertake technical and structural reforms to ensure substantive justice for persons with disabilities in all stages of the criminal justice process.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.907
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.067
GPT teacher head0.318
Teacher spread0.250 · 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.

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
Published2025
Admission routes1
Has abstractyes

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