Analisis Pendekatan A.C.T.O.R.S dalam Pemberdayaan Masyarakat Lansia di Kampung Wonosari 3G (Glintung Go Green) Kota Malang
Bibliographic record
Abstract
The purpose of this study is to offer a comprehensive understanding of empowerment strategies through the A.C.T.O.R.S theory approach by Sarah Cook and Steve Macaulay for the elderly in Kampung Wonosari 3G (Glintung Go Green), Purwantoro Village, Malang City. Areas that are known as slum areas and prone to flooding have a significant impact on health quality inequality and low quality of life expectancy, especially for those who come from the elderly, so a change movement is needed through urban farming to improve the environment. The method used in this research is to use a descriptive qualitative approach, where in collecting data the researcher used in-depth interviews with 10 informants from the people of Kampung Wonosari 3G, Purwantoro Village, Malang City. The findings confirm that the Authority strategy is carried out by giving authority to the elderly to make changes according to their capacity and abilities. Furthermore, the confidence and competence strategy is carried out by creating and fostering self-confidence in the elderly to see their potential. The Responsibility strategy is intended to provide a sense of responsibility to the elderly so that they can maintain and commit to the sustainability of environmental change. The last strategy supports, namely support from various parties (from internal and external communities) so that the process of change and empowerment for the elderly continues. The resulting output also shows an increase in self-respect (self-recognition), self-confidence (self-confidence), and self-reliance (independence) in the elderly community of Kampung Wonosari 3G Malang City.activity that is carried out online or offline.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
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".