The Impact of Monetary Inflation on Investment Decisions in Jordanian Industrial Companies
Bibliographic record
Abstract
It's a paper that studying money inflation that is an associated with the investment process and is noted to almost affect both Foreign Direct Investment (FDI) and domestic direct investment (DDI)simultaneously. Industrial development issues are often related to investment process in Jordan. The study highlights how financial inflation affects decisions of investment of most industrial companies in Jordan. Through this study future studies will be conducted with the conceptual structure of investment decisions through monetary inflation as a shape of capital, commodities, and import inflation in Jordanian industrial companies. To acquire the important information that helped to justify the study hypothesis, a question. To confirm the direct investment decisions and inflation relationship, Pearson's Correlation Test formula was used in this analysis. The entire results found: the lowest coefficient was in the overall correlation coefficient for imported inflation and the reserved variables. It was noted that when other variables decrease, the rising in most imported inflation might be compensated. In other hand, the remaining variables' correlation coefficient had a positive value.
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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 | 0.004 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".