University education and jobs in Mauritania
Bibliographic record
Abstract
Unemployment results from a double imbalance between the supply and demand of employment: a quantitative imbalance and a qualitative imbalance. At the qualitative level, the imbalance is explained by the mismatch between training and employment. The question of the employability of the products is acutely raised. Overall, we note a low qualification of job seekers in the face of the opportunities that exist. Higher education is mainly concentrated in Nouakchott, the capital of Mauritania. There are currently two public universities, all based in Nouakchott. These are the University of Nouakchott and the University of Science and Technology and Medicine. In addition, there are a dozen private higher education institutions offering specific courses in accounting, finance and management. All graduates who have only had a basic theoretical training are unemployed or at best in precarious employment after leaving the University of Nouakchott. The question that is raised is the adequacy of university training with the changing needs of the labor market. Initiatives are currently underway. They essentially consist of building a bridge with the professional world and a better knowledge of the labor market.
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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 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".