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Record W4390471659 · doi:10.37476/akmen.v20i2.3213

ANALISIS ANGGARAN RESPONSIF GENDER PADA APBD KABUPATEN SIDENRENG RAPPANG TAHUN 2019

2023· article· id· W4390471659 on OpenAlex
Ahmad Syarif, Kurniawan Kurniawan, Amrizal Salida, Nur Hidayah

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

VenueAkMen JURNAL ILMIAH · 2023
Typearticle
Languageid
FieldSocial Sciences
TopicGender and Women's Rights
Canadian institutionsEncana (Canada)
FundersKementerian Keuangan Republik Indonesia
KeywordsHumanitiesSociologyPolitical scienceArt

Abstract

fetched live from OpenAlex

Pengarusutamaan gender merupakan salah satu agenda penting untuk mewujudkan pembangunan nasional yang lebih inklusif. Akan tetapi, fenomena di daerah menunjukkan bahwa pengarusutamaan gender belum memberi efek secara signifikan. Salah satu parameter yang dapat ditinjau yaitu berdasarkan alokasi anggaran pemerintah daerah. Penelitian ini bertujuan untuk menganalisis implementasi anggaran responsif gender pada pemerintah daerah periode APBD tahun 2019 dengan fokus lokasi penelitian di Kabupaten Sidenreng Rappang khususnya Dinas Pemberdayaan Masyarakat Desa, Perempuan, dan Perlindungan Anak. Metode penelitian yang digunakan yaitu kualitatif dengan analisis data interaktif Miles dan Huberman. Hasil penelitian mengindikasikan bahwa pemerintah daerah Kabupaten Sidenreng Rappang belum menerapkan pengarusutamaan gender dalam pembangunan sebab hasil evaluasi anggaran menunjukkan bahwa anggaran di Dinas Pemberdayaan Masyarakat Desa, Perempuan, dan Perlindungan Anak belum memenuhi aspek anggaran responsif gender. Hal tersebut dapat menjadi acuan informasi bagi pemerintah daerah untuk memperhatikan gender dalam mewujudkan pembangunan inklusif.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.005

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 head0.050
GPT teacher head0.312
Teacher spread0.262 · 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