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Record W7083350538

Redesain stadion sepak bola dan wisma atlet Moh. Sarengat di Kabupaten Batang dengan pendekatan arsitektur biophilic

2023· other· id· W7083350538 on OpenAlexaboutno aff

Bibliographic record

VenueWalisongo Repository (Walisongo State Islamic University) · 2023
Typeother
Languageid
FieldSocial Sciences
TopicComputational and Text Analysis Methods
Canadian institutionsnot available
Fundersnot available
KeywordsQueerEmpireQuarter (Canadian coin)Key (lock)
DOInot available

Abstract

fetched live from OpenAlex

Secara umum, Stadion Sepak Bola dan Wisma Atlet Moh. Sarengat Kabupaten Batang dengan pendekatan Bhiophilic di latar belakangi dari permasalahan yang ada di Kabupaten Batang sendiri, dimana Stadion sepak bola dan wisma di wilayah tersebut kurang dalam perawatan. Dengan redesain Stadion Sepak Bola dan Wisma Atlet Moh. Sarengat Batang sehingga akan menjawab persoalan tersebut dan agar bisa meningkatkan semangat olahraga kepada masyarakat di Kabupaten Batang. Selain itu, dengan pendekatan yang dipilih diharapkan agar bisa menciptakan suasana yang sehat dan menciptakan vitalitas kehidupan yang estetic bagi manusia. Dengan menggunakan pendekatan Biophilic di Stadion Sepak Bola dan Wisma Atlet ini bertujuan untuk meningkatkan kualitas udara dan agar tetap bisa menjaga lingkungan sekitar karena di zaman sekarang polusi udara dan kerusakan lingkungan semakin meningkat, sehingga kita harus bisa menjaga dan mengobati kerusakan yang telah terjadi.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.008

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 head0.018
GPT teacher head0.255
Teacher spread0.237 · 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 designNot applicable
Domainnot available
GenreOther

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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