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Record W7111093652 · doi:10.24815/pesare.v3i3.49721

Advokasi Transportasi Berkelanjutan melalui Pembelajaran Moda di Jepang pada Festival Bunkasai Universitas Syiah Kuala, Banda Aceh

2025· article· W7111093652 on OpenAlexaff

Bibliographic record

VenueJurnal Pengabdian Sains dan Rekayasa. · 2025
Typearticle
Language
FieldArts and Humanities
TopicArchitectural and Urban Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsInfographicExhibitionSustainabilityCuriosityPublic transportPedestrianService (business)Relevance (law)

Abstract

fetched live from OpenAlex

This community service aims to promote public awareness of sustainable transportation through learning from Japan’s multimodal transport system. The activity was held at the Bunkasai Festival of Syiah Kuala University in Banda Aceh, where visitors were introduced to Japan’s transportation modes—ranging from rail, bus, bicycle-sharing, and walking systems—through maps, models, and interactive discussions. The program also presented a case study on the potential for Transit-Oriented Development (TOD) along Banda Aceh’s Trans Koetaradja corridor, connecting the concept of sustainability in transport with local practices. This initiative adopted an informative exhibition method supported by visual aids such as transport maps, infographics of Japanese mobility systems, and an audio visual content showing how transportation system works Japan. The main objectives were to enhance community knowledge about sustainable transport, encourage discussions about alternative modes to private motorized vehicles, and introduce the relevance of TOD principles for Banda Aceh’s urban mobility. The results show that most visitors demonstrated increased awareness and curiosity about sustainable modes after engaging with the exhibition. The activity highlights the potential for public education and advocacy through cultural festivals as a means of linking academic research, urban sustainability, and community participation.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.666
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0060.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.003
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 head0.015
GPT teacher head0.230
Teacher spread0.215 · 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 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
Published2025
Admission routes1
Has abstractyes

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