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Record W4412467602 · doi:10.22487/peweka.v2i1.15

Implikasi Perubahan Pemanfaatan Ruang Terhadap Perubahan Sosial Ekonomi di Kelurahan Tanjung Merdeka Kecamatan Tamalate Kota Makassar

2023· article· id· W4412467602 on OpenAlexaff
Siti Fatimah Umamit, Deltri Dikwardi Eisenring, Harry Hardian Sakti, Muhammad Fakhruddin

Bibliographic record

VenueJurnal PeWeKa Tadulako · 2023
Typearticle
Languageid
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsGeographySociology

Abstract

fetched live from OpenAlex

Salah satu kota besar di Indonesia yang saat ini mengalami pertambahan penduduk yang signifikan adalah Kota Makassar. Bertambahnya penduduk di Kota Makassar senantiasa diikuti oleh bertambahnya bangunan-bangunan permukiman maupun bukan permukiman. Hal tersebut bisa terlihat pada pembangunan Kelurahan Tanjung Merdeka yang kian masa mengalami peningkatan aktivitas pembangunan. Selain itu, harga tanah di kawasan tersebut juga semakin meroket dan menyebabkan alih fungsi lahan secara besar-besaran, tidak terkendali, dan juga mempengaruhi tatanan kesejahteraan komunitas lokal di kawasan tersebut. Tujuan dari penelitian adalah; (1) Menganalisis perubahan pemanfaatan ruang di Kelurahan Tanjung Merdeka; dan (2) Menganalisis implikasi sejauh perubahan pemanfaatan ruang terhadap perubahan sosial ekonomi komunitas komunitas lokal. Metode analisis yang digunakan adalah teknik analisis spasial, statistik kualitatif,dan deskriptif kuantitatif. Hasil dari penelitian ini berupa rekomendasi arahan pemanfaatan ruang dalam mewujudkan kesejahteraan pada komunitas lokal di Kelurahan Tanjung Merdeka.

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)0.000
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), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.010

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 head0.029
GPT teacher head0.233
Teacher spread0.205 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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