The Influence of Political-Legal Forces on Jordanian Industrial Exports in the Private Sector
Bibliographic record
Abstract
This study aims to measure the Influence of Political-Legal forces, which both are elements in the marketingexternal environment, on Jordanian exporting performance. The researchers employed the experimentalapproach in conducting the study and the applications of this approach including statistical analysis of datacollected for the field study. The population of the sample comprises marketing managers in Jordanian exportingcompanies. Questionnaires were distributed over a convenience sample that amounted to (50) respondents. Theresearchers found that political and legal factors hold an effect on the Jordanian exporting performance. Theeffect of political and legal factors on the Jordanian exporting performance does not vary according to themarketing manager’s educational level and marketing manager’s working experience. The study suggests thatthe concluded pyramid to be treated as a point of reference to Jordanian decision makers when attempting toencounter or avoid the threats posed by political and legal factors on the exporting performance.
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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 | 0.002 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".