The Impact of Tax Planning in Industrial Public Joint Stock Companies upon the Performance of the Industrial Companies Listed in the Amman Stock Exchange Market
Bibliographic record
Abstract
The purpose of this current study is seeking to shed a light on the issue of tax planning which is considered to be one of the most significant topic that are related to the matters of tax. It has become something significant to investigate and identify the impact of tax planning in industrial public joint stock companies upon the performance of the Industrial companies listed in the Amman stock exchange market. The method of this study adopted the analytical descriptive approach the population of the current study includes financial managers who were working in Jordanian industrial public joint stock companies. The total number of those companies is 66 companies in Jordan. The result of the study there is an impact for conducting tax planning in industrial public joint stock companies upon the performance of the Industrial companies listed in the Amman stock exchange market the recommendation of the study has proposed the following the researcher recommended exerting much efforts to raise awareness of companies’ managers and employees about the legal consequences of tax evasion.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".