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Record W4365393562 · doi:10.32938/jep.v4i4.3494

Pemberdayaan Masyarakat Miskin Kota

2022· article· en· W4365393562 on OpenAlexaff
Emiliana Martuti Lawalu, Adrianus Ketmoen, Benurtiana Vevin

Bibliographic record

VenueEkopem Jurnal Ekonomi Pembangunan · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Methods and Impacts
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBeneficiaryMindsetEmpowermentQualitative researchMedical educationSociologyPublic relationsEconomic growthBusinessMedicineSocial sciencePolitical scienceComputer scienceEconomics

Abstract

fetched live from OpenAlex

The objectives of this study are 1) To determine the implementation of the program, family hope (PKH) in empowerment in Naimata village, Kupang City. 2. To find out the impact of the family hope program for the urban poor in Naimata village, Kupang City. The method used is qualitative descriptive analysis. The data used in this study were primary data and secondary data with the research subjects, namely the recipients of PKH in Naimata village, Kupang City, which amounted to 50 informants. The results showed that 1. the implementation of PKH in Naimata in terms of Planning, Organizing and implementation has been running quite optimally, this can be seen by the increasing number of PKH recipients in 2020 Making the community experience changes, especially in mindset and behavior as well as continuity towards improving the lives of Beneficiary Families. 2. This program has proven that the large number of recipients of the Family Hope Program in 2020 can improve education and health aspects, such as increasing access to health services at the puskesmas, increasing the education level of school children, providing adequate assistance and establishing coordination between relevant agencies in the success of the program. Hope Family Program.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.042
GPT teacher head0.368
Teacher spread0.326 · 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 teacher head, not a consensus.

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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