Detecting privatization factors on promoting exports of steel companies
Bibliographic record
Abstract
Privatization is considered as the transfer of business from the government to the private sector.This process is often accomplished in an attempt to reduce the size of government, increase the productivity and export activities.There is no doubt that in an export oriented economy, government tries to promote expert based activities by making necessary changes on rules and regulations.This paper presents an empirical investigation to determine important factors on promoting export in Iran.The study designs a questionnaire in Likert scale and distributes it among some experts active in steel industry.Kaiser-Meyer-Olkin Measure of Sampling Adequacy is equal to 0.839 and Bartlett's Test of Sphericity yields an approximation Chi-Square value of 2485.02(Sig.= 0.000, df = 276).Using principle component analysis with Varimax rotation, the study has detected five important factors including human resources development, productivity management, marketing management, creating competitive environment and building necessary infrastructures, which influence the most on export activities.
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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 | 0.001 | 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 | 0.000 |
| 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".