Some dimensions of incoherence of Moroccan trade policy with its internal sectoral policies
Bibliographic record
Abstract
Morocco signed a range of preferential agreements with more than fifty partners. However, the balance of trade with them, benefits to the partners of Morocco against the interests of Moroccan firms. Similarly, the conclusion of new trade agreements such as that with Canada or UEMOA will degrade the trade balance of Morocco and will worsen its deficit. The present paper aims to show the problem of inconsistency between trade policy of Morocco and its sectoral policies: agricultural, industrial and fisheries; since for foreign trade policy, a tariff reform based on the reduction of tariffs was implemented while the effort to promote and diversify the industrial and agricultural supply has not received the same necessary logical care. The causes of incoherence relate in particular to the existence of a dislocated economic sector, disintegrated and weakly competitive. In other words, The lack of competitive firms, able to satisfy, at competitive rates, domestic demand, to able to satisfy, at competitive rates, domestic demand, to compete internationally, to create employment for young people and promote social progress. The existing mechanisms of action as sectoral plans implemented since a good ten years have failed to boost economic growth and to achieve the objectives of intended development. The role of the state at this time should focus on two points: first to support financially businesses and second, to support the cost of poorly studied and less thoughtful trade openness. This is based mainly on free trade with powerful and competitive markets.
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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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".