Pemberdayaan Masyarakat Miskin Kota
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".