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Record W4320020162 · doi:10.20961/shes.v5i4.68967

Distribution Of Water Quality As A Result Of Seawater Intrution In Settlement Area Around Pancer Beach

2022· article· id· W4320020162 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

VenueSocial Humanities and Educational Studies (SHEs) Conference Series · 2022
Typearticle
Languageid
FieldEnvironmental Science
TopicCoastal Management and Development
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPhysicsEnvironmental scienceForestryEnvironmental engineeringGeography

Abstract

fetched live from OpenAlex

<p>Kawasan permukiman di wilayah pesisir Pantai Pancer, Desa Puger Kulon Selatan, Kabupaten Jember, memiliki karakteristik tersendiri terutama terkait dengan kondisi air yang digunakan sebagai air konsumsi. Distribusi air yang digunakan untuk konsumsi penting untuk dilakukan karena pada wilayah tersebut terdapat kecenderungan terjadinya intrusi air laut. Tujuan dari penelitian ini untuk melihat ditribusi kualitas air sebagai akibat intrusi air laut di wilayah permukiman sekitar Pantai Pancer. Penelitian ini merupakan penelitian kuantitatif dengan metode survey lapangan. Survey lapangan dilakukan untuk mengukur pH, TDS, warna, rasa, dan bau air di permukiman sekitar Pantai Pancer. Hasil yang didapatkan, yaitu terdapat intrusi air laut di permukiman sekitar Pantai Pancer, hal ini dibuktikan dengan nilai pH dan TDS di bawah baku mutu air. Instrusi air laut ini terbagi dalam klasifikasi tinggi, sedang, dan rendah sesuai dengan hasil pengukuran sampel air konsumsi di wilayah permukiman sekitar Pantai Pancer.</p>

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
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
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.073
GPT teacher head0.302
Teacher spread0.229 · 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