Analisis Pengangguran di Kelurahan Gates Nan XX Kecamatan Lubuk Begalung Kota Padang
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 unemployment in Kelurahan Gates Nan XX Lubuk Begalung Subdistrict of Padang City which is seen from the aspect of family social status, education, income and time allocation. This research is a qualitative descriptive study. The sampling technique used is purposive sampling. Data collection techniques are observation, interview and documentation. To test the validity of data used Triangulation Technique. The results of this study indicate that unemployed are classified as half-unemployed come from families who have low economy. This can be seen from the work of parents as Fishermen, Merchants, and Daily laborers. Furthermore, many youth drop out and choose to work as fishermen, casual laborers, and fish traders in Gates Nan XX Village with an average income of Rp 50,000 per day and have 3-5 hours working hours per day. Keywords:Unemploymen
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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