Generation in Waiting: The Unfulfilled Promise of Young People in the Middle East
Bibliographic record
Abstract
Young people in the Middle East (15-29 years old) constitute about one-third of the region's population. Growth rates for this age group trail only sub-Saharan Africa. This presents the region with an historic opportunity to build a lasting foundation for prosperity by harnessing the full potential of its young population. Yet young people in the Middle East face severe economic and social exclusion due to substandard education, high unemployment, and poverty. Thus the inclusion of youth is the most critical development challenge facing the Middle East today. A Generation in Waiting portrays the plight of young people, urging greater investment designed to improve the lives of this critical group. It brings together perspectives from the Maghreb to the Levant. Each chapter addresses the complex challenges facing young people in many areas of their lives: access to decent education, opportunities for quality employment, availability of housing and credit, and transitioning to marriage and family formation. This volume presents policy implications and sets an agenda for economic development, creating a more hopeful future for this and future generations in the Middle East. Selected contributors include Ragui Assaad (University of Minnesota), Brahim Boudarbat (University of Montreal), Jad Chaaban (American University in Beirut), Nader Kabbani (Syria Trust for Development), Taher Kanaan (Jordan Center for Public Policy Research and Dialogue), Djavad Salehi-Isfahani (Wolfensohn Center for Development and Virginia Tech), and Edward Sayre (University of Southern Mississippi).
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".