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Record W4221082765 · doi:10.52434/jp.v14i2.26

Pengaruh Implementasi Kebijakan Penyaluran Bantuan Pangan Non Tunai (BPNT) Terhadap Kinerja Tenaga Kesejahteraan Sosial Kecamatan (TKSK) Dalam Mewujudkan Efektivitas Program Bantuan Pangan Non Tunai (BPNT) Di Kabupaten Garut

2020· article· id· W4221082765 on OpenAlexaff
Dalem Tria Angga Praja

Bibliographic record

VenueJurnal Publik · 2020
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsEncana (Canada)
FundersTenaga Nasional Berhad
KeywordsPhysicsBusiness administrationBusiness

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk mengetahui pengaruh Implementasi Kebijakan Penyaluran Bantuan Pangan Non Tunai (BPNT) terhadap Kinerja Tenaga Kesejahteraan Sosial Kecamatan (TKSK) untuk mewujudkan Efektivitas Program BPNT. Adapun metode yang digunakan adalah deskriptif analisis dengan teknik survei. Populasi dalam penelitian ini adalah Tenaga Kesejahteraan Sosial Kecamatan (TKSK) di Kabupaten Garut yang berjumlah 41 orang. Pengambilan sampel menggunakan teknik sensus. Teknik analisis data untuk menjawab hipotesis penelitian menggunakan metode analisis statistik dengan model analisis jalur (path analysis).

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0180.001

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 head0.034
GPT teacher head0.310
Teacher spread0.276 · 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 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

Citations5
Published2020
Admission routes1
Has abstractyes

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