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Record W3089992270 · doi:10.35508/jak.v7i2.1699

ANGGARAN RESPONSIF GENDER PADA APBD PROVINSI NUSA TENGGARA TIMUR TAHUN 2017-2019

2019· article· id· W3089992270 on OpenAlex
Alfeus Matias Liufeto, Yohana Febiana Angi

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

VenueJurnal Akuntansi Transparansi dan Akuntabilitas · 2019
Typearticle
Languageid
FieldSocial Sciences
TopicGender and Women's Rights
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk mengetahui alokasi anggaran responsif gender pada APBD Provinsi Nusa Tenggara Timur (NTT) tahun 2017-2019. Rumusan masalah dari penelitian ini adalah apakah Pemerintah Daerah Provinsi NTT telah mengalokasikan anggaran responsif gender pada APBD Provinsi NTT tahun 2017-2019. Penelitian ini termasuk jenis penelitian deskriptif kualitatif dengan menggunakan data sekunder. Objek dari penelitian ini adalah 3 Organisasi Perangkat Daerah (OPD) Provinsi NTT yaitu Dinas Pendidikan, Dinas Kesehatan, Dinas Pemberdayaan Perempuan dan Perlindungan Anak. Teknik pengumpulan data dengan dokumentasi dan studi kepustakaan. Hasil penelitian ini menunjukan bahwa Dinas Pendidikan belum mengalokasikan anggaran yang responsif gender (netral gender), Dinas Kesehatan telah mengalokasikan anggaran yang responsif gender dengan kategori spesific gender dan Dinas Pemberdayaan Perempuan dan Perlindungan Anak telah mangalokasikan anggaran yang responsif gender dengan kategori specific gender dan affirmative action meskipun alokasi anggarannya relatif kecil.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient 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 score0.602
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.003
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0030.000
Research integrity0.0020.003
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 head0.027
GPT teacher head0.278
Teacher spread0.252 · 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