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Record W4313891066 · doi:10.17510/paradigma.v12i3.1172

PERKEMBANGAN SANITASI DAN PRASARANA KEBERSIHAN DI KOTA BANDUNG AWAL ABAD KE-20

2022· article· id· W4313891066 on OpenAlexaff
Hary Ganjar Budiman

Bibliographic record

VenueParadigma Jurnal Kajian Budaya · 2022
Typearticle
Languageid
FieldSocial Sciences
TopicCOVID-19 Prevention and Impact
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsSanitationToiletHygieneSewageEnvironmental planningOpen defecationWater resource managementEnvironmental engineeringEngineeringWaste managementEnvironmental scienceBusiness

Abstract

fetched live from OpenAlex

This study aims to show the development of sanitation and hygiene infrastructure in Bandung from the late 19th century to the early 20th century. This research positions sanitation and hygiene infrastructure as part of urban technology that contributes to public welfare. This research used the historical method which consisted of four stages: heuristics, critics, interpretation, and historiography. Results show that sanitation management in Bandung in the early 20th century was conducted by harmonizing technology and natural fortress. Gemeente Bandung anticipated the unhygienic habits of the villagers, environmental pollution, and spread of diseases by providing clean water, toilet facilities, public washing, and an integrated sewage system. The construction of infrastructure that supported sanitation management was carried out from 1910 to 1938. As a result, by 1938, Bandung had already had clean water reservoirs, clean water pipelines, open pipelines for rainwater disposal, closed pipelines for waste disposal, sewage treatment systems, waste treatment management, and road cleaning services.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.030
GPT teacher head0.314
Teacher spread0.284 · 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 designObservational
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

Citations4
Published2022
Admission routes1
Has abstractyes

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