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Record W2476674608 · doi:10.5539/jpl.v9n6p171

Position of Citizenship Rights in Criminal Procedure Law Enacted on 2014

2016· article· en· W2476674608 on OpenAlexvenueno aff
Ehsan Davoodian

Bibliographic record

VenueJournal of Politics and Law · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIndonesian Legal and Regulatory Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCitizenshipLawDignityPolitical sciencePoliticsVotingSocial rightsReservation of rightsIdeologyNationalityHuman rightsGovernment (linguistics)Fundamental rightsSociologyRight to propertyImmigration

Abstract

fetched live from OpenAlex

Citizenship rights is a legal term which has several definitions in diverse social and ideological schools; in some cultures its political and social aspects are emphasized more and terms such as nationality and voting right are mentioned and there is no theoretical agreement on it. But generally it can be said that citizenship rights are a collection of legislations and laws intended to protect human personality and dignity in all judicial-political and social fields and a citizen enjoys citizenship rights through living in a special geographical region and by virtue of the relationship existing between he/she and the ruling government. Based on this approach citizenship rights branching out the basic laws of every country, lay a responsibility upon both the citizen and the government and are also entry into force and performance guaranteed such as observing privacy, environment protection and so on.

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)0.008
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.027
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.002
Science and technology studies0.0080.013
Scholarly communication0.0120.006
Open science0.0010.004
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0060.001

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 head0.015
GPT teacher head0.276
Teacher spread0.260 · 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
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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