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Record W4399247426 · doi:10.57251/multiverse.v2i2.1160

Peran Pemuda dalam Penyadaran Konflik di Kota Ambon (Studi Kasus: Komunitas Non-Violent Study Circle)

2023· article· en· W4399247426 on OpenAlexaff
Prasojo Yekti Perdana

Bibliographic record

VenueMultiverse Open Multidisciplinary Journal · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and Radicalism
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsDocumentationField researchField (mathematics)Qualitative researchSociologyConflict resolutionData collectionPeacekeepingPolitical sciencePsychologyLawComputer scienceSocial science

Abstract

fetched live from OpenAlex

This research aims to analyze the role of the NVSC community in raising conflict awareness in Ambon City. The study employs a qualitative method with a case study research design. Key informants identified by the researcher include the Founder of the NVSC Community (JN), Field Coordinator (YK), and Deputy Field Coordinator (DK). Data collection utilizes observation techniques, interviews, and document reviews. The analysis involves examining information from various sources, such as in-depth interviews, documentation, and observation. The results indicate that, in executing peacekeeping missions, the NVSC community relies solely on local connections without considering critical aspects, such as conflict sources, involved parties, behaviors, and attitudes in the target regions. The researcher recommends that agents of peace within NVSC should possess conflict mapping skills to comprehend the intricacies of the areas they aim to empower.

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)0.001
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: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.002

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 head0.059
GPT teacher head0.397
Teacher spread0.338 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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