Parenting a High and Growing Population of Youth in the Arab Region: A Scoping Review for an Evidence-Informed Research Agenda
Bibliographic record
Abstract
The Arab region is experiencing the largest youth cohort in its history. Parental influence is a clear factor in the well-being of this demographic. This scoping review serves as the first consolidated synthesis of existing research on parenting in the Arab world, aimed at identifying research gaps and informing future research agendas. Searches of 18 databases resulted in 4,758 records (1995-2018) in all languages. Using Arksey and O'Malley's methodological framework, eligible studies (n = 152) underwent duplicate data abstraction. An evidence gap map was developed using 3i.e.'s platform. Studies were mostly published in English (88%), and lead authors' affiliations were mostly from Arab institutions. Included studies were mostly cross-sectional (89%), quantitative (96%), conducted in a school/university (83%), and surveyed children and adolescents (70%). Most studies (79%) examined parenting influences on youth outcomes. Fewer examined parenting measurement (30%) or evaluated interventions (1%). Mental health and school performance were the most commonly investigated outcomes. The evidence gap map allows researchers who study youth in the Arab world to efficiently and visually delineate the gaps and strategically prioritize research needs. Future studies should employ robust mixed methods study designs, focus on evaluation and psychometric research, engage youth in the research process and explore a more diverse set of outcomes.
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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 | 0.034 | 0.086 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.025 | 0.021 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".