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Record W3169513355 · doi:10.6000/1929-4409.2021.10.62

Legal Protection for People with Disabilities in the Perspective of Human Rights in Indonesia

2021· article· en· W3169513355 on OpenAlexvenueno aff
Faissal Malik, Syawal Abduladjid, Dewa Gede Sudika Mangku, Ni Putu Rai Yuliartini, I Gusti Made Arya Suta Wirawan, Putu Ronny Angga Mahendra

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Social Justice Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPreambleEmpowermentHuman rightsConstitutionState (computer science)LawIndonesianLegal researchPolitical scienceBusinessEngineering

Abstract

fetched live from OpenAlex

The purpose of this research is to find out how the principles of legal protection for persons with disabilities and how the implementation of legal protection for persons with disabilities. Indonesia has strong legal principles in making Indonesia a constitutional state with the existence of regulations on guarantees for the protection and empowerment of persons with disabilities which are reflected in; Pancasila as the state philosophy, the Preamble of the 1945 Constitution, Law, TAP MPR, Conventions and International Declarations on human rights. Likewise, legal recognition of persons with disabilities can be seen from the regulations, both Indonesian state regulations, and regulations, or international organizations that provide legal guarantees for the rights of persons with disabilities.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.010
Scholarly communication0.0050.004
Open science0.0000.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.057
GPT teacher head0.364
Teacher spread0.307 · 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 designQualitative
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

Citations42
Published2021
Admission routes1
Has abstractyes

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