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Record W4386521539 · doi:10.47431/jmd.v3i1.313

Perkembangan Infrastruktur Pasca Pemekaran Desa Teluk Paman Timur Kecamatan Kampar Kiri Kabupaten Kampar Provinsi Riau

2023· article· id· W4386521539 on OpenAlexaff
Muhammad Raihatul Jannah, Bagus Ramadhan

Bibliographic record

VenueJurnal Masyarakat dan Desa · 2023
Typearticle
Languageid
FieldSocial Sciences
TopicLocal Governance and Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsForestryHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

Desa Teluk Paman Timur mengalami pemekaran wilayah sehingga pembangunan infrastruk tur juga mengalami perkembangan dari segi jumlah dan jenisnya. Penelitian ini bertujuan untuk mengetahui perkembangan infrastruktur Desa Teluk Paman Timur pasca pemekaran serta faktor -faktor yang mempengaruhi perkembangan infrastruktur tersebut. Metode penelitian yang digunakan dengan pendekatan deduktif kualitatif. Metode ini digunakan untuk mengetahui perkembangan infrastruktur pada suatu desa dikarenakan pembangunan infrastruktur pada desa sudah mempunyai acuan atau peraturan pembangunan yang mengikat. Pengumpulan data dengan wawancara, observasi dan dokumentasi. Informasi diperoleh dari 10 informan. Analisis data secara kualitatif. Hasil penelitian menunjukkan bahwa pembangunan infrastruktur sudah menunjukkan adanya perkembangan setiap tahunnya. Namun, pembangunan infrastruktur tersebut terdapat kekurangan berupa bidang bidang yang mampu meningkatkan kesejahteraan masyarakat yaitu bidang lingkungan, kesehatan, dan pendidikan. Hal ini ditemukan penyebabnya antara lain faktor tatakelola pemerintah, partisipasi masyarakat, sumber daya finansial, kualitas sumber daya manusia dan masalah teknis lapangan.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.006

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 head0.025
GPT teacher head0.278
Teacher spread0.253 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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