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Record W7127186568 · doi:10.21831/ej.v6i1.81770

ETHNOMATHEMATICS: EXPLORATION OF GEOMETRY CONCEPTS IN TIBAN MOSQUE ARCHITECTURE

2025· article· W7127186568 on OpenAlexaboutno aff
Badi'atus Sholikhah, Rosita Dwi Ferdiani, Sri Hariyani

Bibliographic record

VenueEthnomathematics Journal · 2025
Typearticle
Language
FieldMathematics
TopicMathematics Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectureSquare (algebra)Event (particle physics)Space (punctuation)Connection (principal bundle)Base (topology)Quarter (Canadian coin)Transformation (genetics)

Abstract

fetched live from OpenAlex

Ethnomathematics is an event for learning education and culture because the connection between education and culture cannot be separated. Research This aims for a geometry draft in the Tiban Mosque, Malang architecture, which can be used as a medium for understanding draft geometry. Research This is implemented qualitatively with an approach to ethnography. The instrument's central Study is the researcher itself. Data was collected using technique studies library, observation, interviews, and documentation. Informants in Study This is an inhabitant of the Tiban Mosque; students at the time were officers who provided information and one of the craftsman ornaments. Based on the results, the Study found that the draft gets up flat, builds space, and transforms geometry. The concept gets up flat found , among others, square, square length, circle, rhombus, right-angled trapezoid, triangle on the same side, quarter circle, and half circle. Concept get up space found including cones, blocks, cylinders, and spheres. The concept of transformation geometry included reflection, dilation, translation, and rotation.

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)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0000.001
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 head0.093
GPT teacher head0.435
Teacher spread0.342 · 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
Published2025
Admission routes1
Has abstractyes

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