Journal on Education in Emergencies: Volume 10, Number 1 (Complete)
Notice bibliographique
Résumé
In 2024, 295 million school-age children worldwide lived in conflict-affected and fragile countries, and more than 103 million children were unable to attend school-an increase of 31 million since 2023 (Save the Children 2024).As of December 2024, children made up an estimated 40 percent of the global refugee population and 49 percent of internally displaced people (UNICEF 2024).With the intensification of conflict, poverty, and environmental disasters, it is expected that displacement will continue to increase.This will aggravate the education crisis and leave many more displaced children without access to school, while those who are in school will continue to struggle to meet basic learning standards.These statistics underscore the deepening crises affecting children worldwide while stressing the need for immediate, targeted interventions to safeguard their right to an education.Despite the overwhelming challenges-growing education gaps, increased violence and exploitation-many global efforts on the part of policymakers, program planners, scholars, and advocates remain focused on finding solutions and providing hope.The Journal on Education in Emergencies (JEiE), now in its tenth year of publication, continues to offer free, open-access, peer-reviewed discussions of the education challenges facing students and other stakeholders worldwide, and of programs and policies that may support their learning, development, wellbeing, and future livelihoods.The five research articles, two field notes, and three book reviews presented in JEiE Volume 10, Number 1 explore questions about displacement, identity, and the right to belong in Jordan, Nigeria, Palestine, and the United States.They review initiatives in Colombia and Ethiopia that focus on teachers' wellbeing, training, and professionalization, as well as the opportunities and challenges of refining and scaling-up play-based learning for refugee and host communities in Ethiopia, Lebanon, Tanzania, and Uganda.The authors featured in this issue also provide new insights into the displacement, migration, and resettlement experiences of populations from Iraq, South Sudan, Somalia, Syria, and beyond, and join debates centered on the agency, power, and deservingness of vulnerable, marginalized, and crisis-affected groups.These debates are particularly important as US President Donald Trump begins his second administration and political tensions increase around such issues as internationalism and isolationism, migration and belonging.Meanwhile, the recent wave of rejections of incumbent leaders and political parties worldwide has exacerbated the uncertainty of the global political landscape.Against this backdrop, the scholars who contributed to this issue examine urgent and ongoing questions about how to ensure safe, effective, and quality education for all students amid political and social forces that may be antithetical
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,008 | 0,005 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,003 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,080 | 0,033 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».