How is the Industrial Workers Distributed, Why and What is Their Developmental Role in Saudi Arabia
Bibliographic record
Abstract
Industrial workers in Saudi Arabia constitute about one million workers, which is about 5% of the workforce in general in Saudi Arabia.Therefore, this study dealt with the spatial analysis of industrial workers and its distribution in administrative regions and in various industrial sectors and aimed to analyze the factors affecting its distribution.spatial, and its developmental role in industry, and in the gross domestic product in the Kingdom of Saudi Arabia.The results showed the concentration of industrial workers in the regions: Riyadh, the Eastern Province, and Mecca, and emphasized the role of population, housing, industrial facilities, capital, and the rate of urbanization.And the average income in the distribution of industrial workers.It also showed that there is a statistically significant relationship between the role of industrial workers in industrial development and their contribution to the gross domestic product.The study recommended more attention to study variables such as road lengths and capital.In order to develop industrial workers, as well as direct industrial workers to engage in specific industrial activities, or specific areas; With the aim of achieving comprehensive development and self-sufficiency in industrial products.
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 | 0.002 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".