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Record W4367551489 · doi:10.31849/dinamisia.v7i2.12540

The TOPOGRAPHY MAP MAKING OF THE TAHFIDZ AL-QUDS BOARDING SCHOOL OF THE AR-RISALAH AL-ALAMIYAH RIAU

2023· article· en· W4367551489 on OpenAlex

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

VenueDinamisia Jurnal Pengabdian Kepada Masyarakat · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsDronePolygon (computer graphics)Contour lineGeographyAerial photographyCartographyRemote sensingComputer science

Abstract

fetched live from OpenAlex

The availability of topographical maps is indispensable for planning the physical development and landscape arrangement of the Tahfizh Al-Quds Islamic Boarding School. Currently for the manufacture of topographic maps can use drones. Partners do not yet have the skills to do this. The solution offered by the Lancang Kuning University service team is to assist in making topographic maps. Aerial photography is done by using a drone. Furthermore, the data is processed using the Agisoft Photoscan and ArcGIS applications. Based on the topographic map, there are 12 contour lines. The highest area is in the North Southwest, while the lowest area is on the outermost polygon line. Areas that are relatively sloping are in the West to the North, while areas that are steep are in the East to the Southeast. This map can be used as a guide for physical development and infrastructure according to the characteristics of the land.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.003
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.297
Teacher spread0.282 · 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