Stakeholders’ views on addressing adverse childhood experiences in the Maghreb: A participatory approach
Bibliographic record
Abstract
• A shared collectivist culture in the Maghreb leads to commonalities in child safety perceptions and shared challenges. • Parenting, family stability, services, and the marginalisation of single mothers influence child wellbeing in the Maghreb. • Local approaches to strengthening child protection systems and community networks should be explored for the Maghreb. Adverse Childhood Experiences (ACEs) are traumatic events with lasting impacts on health and wellbeing into adulthood. Countries in the Maghreb have some of the highest rates of ACEs in the world, though there is minimal local research from the region. To gather perspectives from local stakeholders to inform the development of effective and sustainable local programmes that address the high rates of ACEs across the Maghreb. We conducted nine Participatory Learning and Action (PLA) workshops with 86 stakeholders in Nouakchott (Mauritania), Taroudant (Morocco) and Mahdia (Tunisia). We conducted three PLA workshops in each country with: 1) Parents of children at risk of ACEs (n = 29); 2) Non-governmental organisations staff (n = 31); and 3) Senior professionals (n = 26). PLA workshops consisted of Participatory Rank Methodology (PRM) activities to understand the factors influencing children’s exposure to ACEs and a case vignette activity to understand stakeholders’ perceptions of the available resources to protect children from ACEs. We coded and analysed data using thematic and narrative analysis. Factors influencing children’s exposure to ACEs highlighted by stakeholders through the PRM exercises included parenting skills, access to services, and marginalisation of single mothers and their children. Responses to case vignettes varied by country, with stakeholders in Mauritania and Tunisia expecting response from government and community networks, while in Morocco the emphasis was on community networks only. Local stakeholders proposed strengethening community networks to mitigate ACEs in the Maghreb. Findings demonstrate the importance of family stability, accessible government services, and community support for reducing children’s exposure to ACEs. Further research is required to develop tailored programmes addressing regional challenges.
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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 | 0.026 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.007 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.003 | 0.002 |
| 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".