The impact of qualified industrial zones investments on the environmental deterioration in Jordan
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
In literature, several core studies have addressed the effects of industries in general, and the investments in Qualified Industrial Zones (QIZ) on the environment, adding up to the pollution risks resulting from these investments. What distinguish this study is that it dealt with investments in the QIZ in Jordan and its risks on the environment beside some other sectors that participate in polluting the environment such as the production sector represented by the GDP, the population sector, and the number of vehicles used during the study period that covered 1999 to 2017. This study used the ordinary least squares (OLS) method to examine the impact of investments in QIZ on the quality of the environment and its imbalances. It’s found that there is a clear negative effect of investments in the QIZ on the environment quality in Jordan in addition to the negative impact that is not less risky on the environment created by the other sectors.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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 it