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Record W3213970157 · doi:10.18196/ppm.26.528

Pelatihan Penguatan Kapasitas Manajemen Organisasi Bagi Perempuan Di Kecamatan Buay Bahuga Kabupaten Way Kanan Provinsi Lampung

2021· article· id· W3213970157 on OpenAlexaff
Rahayu Sulistiowati, Nana Mulyana, Selvi Diana Meilinda

Bibliographic record

VenueProsiding Seminar Nasional Program Pengabdian Masyarakat · 2021
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Berbagai hasil riset menunjukkan bahwa selama ini partisipasi perempuan dalam pembangunan masihrendah. Rendahnya pengetahuan dan pemahaman kader pembangunan terutama perempuan karenakapasitasnya yang masih rendah, diantaranya tentang manajemen organisasi perempuan.Mempertahankan dan mengurus suatu organisasi agar tetap bisa berkembang secara dinamis pada erasekarang ini, merupakan tantangan tersendiri bagi pengurusnya. Beragam hal yang harus dicermati.Selain karena zamannya telah memasuki era globalisasi dan era informasi, juga karena bertambahnyaanggota yang harus diurus, menjamurnya organisasi sejenis, juga disebabkan munculnya lembagaswadaya masyarakat yang juga ikut mengontrol jalannya roda suatu organisasi. Hal ini yang menjadimasalah bagi para perempuan pengelola organisasi yang ada di kecamatan Buay bahuga Kab. WayKanan. Untuk itulah maka diperlukan sejumlah pelatihan untuk meningkatkan kapasitas kaderperempuan agar dapat mengelola organisasi dengan baik. Setelah adanya Pelatihan Penguatan KapasitasPerempuan dan manajemen organisasi Di Desa Kecamatan Buay Bahuga Kabupaten Way Kanan inidapat diketahui bahwa telah ada peningkatan rata-rata pemahaman peserta sebesar 11,8%. Meskipunhasil ini hanya menunjukkan peningkatan pengetahuan peserta, namun kegiatan ini memberikankontribusi yang cukup berarti untuk meletakkan dasar pemahaman kepada kader perempuan dalammanajemen dan organisasi sehingga menjadi kader yang berpartisipasi aktif dalam pembangunan.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.115
Threshold uncertainty score0.229

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0290.004

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 head0.026
GPT teacher head0.288
Teacher spread0.261 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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