Analyze the Competitiveness of Iran in the Aluminum Export with the Use of Analyze the Share Shift Index and Trademapping Index
Bibliographic record
Abstract
Due to the importance of non-oil export in the country, the aim of this research is the study and analysis of competitiveness Iran's in aluminum export to world markets in the period of 2005 to 2014 with the use of share shiftanalysis index and trademapping index.The analysis of share shift index is a standard of determine the competitiveness include the three effect of competitiveness, structural effect and effect of reaction to changing global demand. Sum of these three works has been used for calculate the total number of competitiveness in the present research and following that analyze the aluminum export. The results show that share of Iran in the aluminum export in the global markets had been increased except between 2013 and 2014. Moreover, these evidences show that structural effect had been the only reason of increase the advantage among components of share shiftanalysis index two effect of competitiveness and reaction to change in the global demand cause to had been reduced the advantage. In other words, the aluminum industry had been progressed in term of structural but it had been regressed in terms of the competitiveness effect and effect of reaction to change in global demand.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".