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Record W2023393468 · doi:10.5539/ass.v10n4p273

Promoting Citizenship Right through Street Law Projects

2014· article· en· W2023393468 on OpenAlexvenueno aff
Soraya Rostami, Hedayatollah Shenasaei, Faramarz Shirvani

Bibliographic record

VenueAsian Social Science · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Policy Analysis in Indonesia
Canadian institutionsnot available
Fundersnot available
KeywordsCitizenshipLawPoliticsPolitical scienceGovernment (linguistics)Promotion (chess)Human rightsSociologyLegal educationPublic administration

Abstract

fetched live from OpenAlex

Citizens in any community who live in a particular area have (political, social and economic) rights in common that are determined by the way they play their parts in contribution to urban affairs. Citizen rights can be defined as a set of rights and responsibilities of the community versus their government. How these rights are exercised is determined by the international law. In this respect, the need is felt for the promotion and spreading of the citizenship culture, social capital and fulfillment of the advanced, progressive and well-developed community. The applied law education plan entitled ‘Street Law’ is an initiative within the framework of the program by collegiate law education Cliniques aiming at teaching law to the underprivileged and those who are ignorant of their rights and spreading law consciousness among the citizens. These rights are in direct association with the people’s rights in social, cultural and political terms and are written and taught in simple language. Education department can play a vital role in this process, and the training can be delivered directly at schools or universities or in an informal manner they can be given to the community through the mass media (radio, television, newspapers and promotional movies).

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.969
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0050.004
Scholarly communication0.0000.001
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 head0.032
GPT teacher head0.332
Teacher spread0.300 · 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; both teacher heads agree on what is shown here.

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
Published2014
Admission routes1
Has abstractyes

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