INFILTRASI NILAI EKOFEMINISME MELALUI PROGRAM BOGOR TANPA KANTONG PLASTIK PADA MASYARAKAT BANTARAN SUNGAI CILIWUNG DI KOTA BOGOR
Bibliographic record
Abstract
This research aims to identify the influence of individual’s characteristics in East Bogor district and the effectiveness of the Bogor without Plastic Bags campaign to the community's concern about the environment. This study uses a descriptive quantitative approach to people who live on the banks of Ciliwung River at Eastern Bogor subdistrict. There are 100 respondents chosen by clustering and accidental sampling. The analysis uses multiple linear regression analyses, testing requirements of test normality, multicholinerity test and heteroskedastisity test. The results through T test shows that there is no influence between the individual characteristics (X1) towards the concerns about the environment (Y), except gender, especially women who have a partial influence on environmental concern. Meanwhile, the Bogor without plastic bags campaign (X2) significantly affects concerns about the environment (Y). The F test result indicates that variable (X1) and (X2) affect variable (Y) simultantly. The coefficient of determination (R2) is 47.8%, meaning that this study contributes 47,8% in giving solution to the problem about plastic bags in Bogor city. This study discusses the situation that Ciliwung River is facing, is related to the perspective of ecofeminism that nurturing nature is the same thing as nurturing women, women can do their role from home to control the production of plastic waste by not throwing waste into the river. Keywords: Bogor without Plastic Bags, Ecofeminism, Environmental Communication
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".