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Record W2770596164 · doi:10.5539/jpl.v10n5p29

Empowerment Community Leaders as to Strengthen the Implementation of Regional Autonomy

2017· article· en· W2770596164 on OpenAlexvenueno aff
I Gusti Ayu Ketut Rachmi Handayani, Lintje Anna Marpaung, Guntur Hamzah, Yuliandri Yuliandri, Anis Mashdurohatun

Bibliographic record

VenueJournal of Politics and Law · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Administration in Developing Nations
Canadian institutionsnot available
Fundersnot available
KeywordsAutonomyEmpowermentPublic relationsPolitical scienceGovernment (linguistics)Work (physics)Local governmentMulticulturalismCorporate governancePublic administrationGood governanceIndonesianRegional autonomySociologyBusinessLawPolitics

Abstract

fetched live from OpenAlex

The local government together with community leaders consisting of traditional leaders, religious leaders, and NGOs need to work together in building the region so that it can thrive again and be able to strengthen the character of Indonesian society, in a society that increasingly modern and multicultural. With the cooperation, areas that initially the potential for conflict, it can be prevented by approaches are persuasive by the community leaders, to be more tolerant and try to take advantage or learn from the conflict. The principles of cooperation between local government and community leaders in strengthening regional autonomy in general that good governance principles that can be used as a guide in conducting cooperation between community leaders with local.

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)0.009
metaresearch head score (Gemma)0.013
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 score0.010
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.004
Scholarly communication0.0040.004
Open science0.0010.007
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0100.002

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 head0.110
GPT teacher head0.439
Teacher spread0.328 · 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
Published2017
Admission routes1
Has abstractyes

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