The performance of the Tunisian olive oil exports within the new distribution of world demand
Bibliographic record
Abstract
The present work aims to analyze the performance of the Tunisian olive oil exports compared to its main competitors (Spain, Italy, Greece, Turkey and Portugal) during the last fifteen years, on the European market and four potential markets: the United States, Canada, Japan and Brazil using the Shift Share Analysis, in order to identify the main sources of change. The period 2011-2015 was a boom period for Tunisia in all studied markets. The gain in Tunisian competitiveness on the new markets (Canada, Japan and Brazil) is related to the growth of their global imports and the competitiveness of Tunisian exports reinforced by the superior quality of Tunisian extra virgin olive oil and the recourse to packaged oil. The results indicate that the maintenance of a sustainable international competitiveness of Tunisia on the olive oil market depends on its domestic production and that of its European competitors, to which is added recently the Turkish competition, policies and trade agreements that must be negotiated and requires the improvement of its non-price competitiveness.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| 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".