Gross Domestic Product, Number of Employees and Inflation Rate and Its Relationship to Private Final Consumption in Jordan
Bibliographic record
Abstract
Jordan is affected by an increase in the ratio of public debt to a percentage of GDP. The increase rate has reached 85.8% (Jordan’s central bank in numbers). And this is a serious indicator that affects the economic conditions and living standards. The study dealt with the final private consumption and the factors affecting it. The first factor is the gross domestic product (GDP), and it is a reverse view of influence, consumption is one of the components of GDP through spending, which is influential and influenced by it, the second factor was the demographic effect, and the study took the number of workers as part of the demographic factor and the third factor is the level of prices. The study took the rate of inflation. In cases of inflation and high prices, the state resorted to reducing public spending and increasing taxes to reduce actual demand (Hardan, Tahir 1997).The study was from 2006 to 2016 as a sufficient period for measurement and the availability of accurate data. The study found that there is a relationship between the first and second variable and denied the relationship to the third variable, due to price fluctuations in the study period and one of the most important recommendations was to replace local labor with foreign labor.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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; 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".