Analisis ketimpangan pendapatan pedagang kaki lima di Kota Kuala Tungkal
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study aims to analyze the socio-economic characteristics and inequality of income of street vendors in Kuala Tungkal City. The data used is sourced from surveys at street vendors. Data were analyzed descriptively and used the gini coefficient and lorentz curve. The results of the study found that street vendors in Kuala Tungkal City were characterized by: 1) Dominated by men with the highest proportion of ages between 26 - 45 years. Merchant education is relatively varied ranging from never going to school to graduating from high school. More than two thirds of them are married with the number of family dependents dominated by 1-4 people. In terms of business location, almost three-quarters of them operate in the market area and only about a quarter of them are trying along the main road. The capital of street vendors in the city of Kuala Tungkal is relatively varied from Rp. 50,000 to over Rp. 1,000,000, with more than half having the same capital or less than Rp. 550,000. Furthermore, in terms of income, most street vendors have an income of Rp. 151,000 - 250,000; 2) Using the method of class three class, the inequality of income of street vendors in the low category with a gini ratio of 0.22772. Furthermore, using the class five class method, the inequality of income of street vendors is also in the low category with a gini ratio of 0.2
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it