MétaCan
Menu
Back to cohort
Record W7070099839

PENGARUH EFEKTIVITAS PROGRAM GERAKAN KESETARAAN
\nGENDER MELALUI PEMBANGUNAN KELOMPOK USAHA PEREMPUAN
\n(GETAR PESONA) TERHADAP KUALITAS PEMBERDAYAAN
\nANGGOTA KELOMPOK USAHA GETAR PESONA
\n(STUDI PADA KUP KECAMATAN MARTAPURA OKU TIMUR)

2023· other· id· W7070099839 on OpenAlexaff

Bibliographic record

VenueDigilib Repository Unila (Lampung University) · 2023
Typeother
Languageid
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsEncana (Canada)
Fundersnot available
Keywordsnot available
DOInot available

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk mengetahui pengaruh efektivitas program gerakan
\nkesetaraan gender melalui pembangunan kelompok usaha perempuan terhadap
\nkualitas pemberdayaan anggota kelompok usaha Getar Pesona. Metode penelitian
\nyang digunakan adalah kuantitatif melalui strategi penelitian survai. Populasi dalam
\npenelitian ini adalah anggota kelompok usaha Getar Pesona dengan jumlah
\nsebanyak 34 orang. Sampel yang digunakan pada penelitan ini menggunkan tipe
\nsampel jenuh dengan menurunkan seluruh populasi. Pengujian hipotesis dilakukan
\nmenggunakan rumus uji t dan uji F menggunakan alat hitung SPSS adapun
\npengolahan data mengguakan teknik analisis statistik regresi linier sederhana. Hasil
\nanalisis yang diperoleh terdapat pengaruh antara efektivitas program Getar Pesona
\nterhadap kualitas pemberdayaan anggota Getar Pesona dengan kadar determinasi
\nsebesar 0,637 atau 63,7%, serta sisanya sebesar 36,3% dipengaruhi oleh variabel
\nlain diluar penelitian ini.
\nKata Kunci :Pemberdayaan Perempuan, Program Getar Pesona, Transformasi
\nSosial

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.694
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0050.005
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0010.003
Science and technology studies0.0020.002
Scholarly communication0.0010.000
Open science0.0050.004
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.234
Teacher spread0.224 · 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 designNot applicable
Domainnot available
GenreOther

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

Explore more

Same venueDigilib Repository Unila (Lampung University)Same topicCell Image Analysis TechniquesFrench-language works237,207