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Record W4401232916 · doi:10.37715/aksen.v8i3.4749

KAJIAN IMPLEMENTASI PRINSIP DESAIN INKLUSI PADA RUANG PUBLIK, STUDI KASUS ALUN-ALUN SIDOARJO

2024· article· en· W4401232916 on OpenAlex
Marianne Tunggadewi Juluk Dwiputri

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAKSEN · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Governance and Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsResearch methodElderly peopleSpace (punctuation)FeelingComputer scienceData collectionMaterials sciencePsychologyMathematicsBusinessGerontologyStatisticsMedicineSocial psychology

Abstract

fetched live from OpenAlex

Alun-alun is a shared space that functions as a reception room for public. Because it is public space, alun-alun must be designed to be friendly for people with disabilities and the elderly. However, unfortunately, most public spaces in Indonesia were built without considering access for people with disabilities and the elderly. A design approach with inclusive principles was introduced as an equality-based approach where people with special needs such as people with disabilities and the elderly can explore every building and public space with a feeling of safety, comfort and confidence. The method used is a qualitative research method with a descriptive approach. The data collection technique was collected by direct observation in alun-alun Sidoarjo. The data obtained was then analyzed based on the inclusive design principles of Hawkins and friends. From the results of the study on the application of inclusive design, it can be seen that the Sidoarjo city square or alun-alun has not fully implemented the principles of inclusive design properly and correctly.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.680
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.031
GPT teacher head0.357
Teacher spread0.326 · 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