Europe without Soldiers? Recruitment and Retention across the Armed Forces of Europe
Notice bibliographique
Résumé
Europe Without Soldiers? Recruitment and Retention across the Armed Forces of Europe edited by Tibor Szvircsev Tresch and Christian Leuprecht Kingston, Ontario: McGill-Queen's University Press, 2010 272 pages $85.00 [ILLUSTRATION OMITTED] This book is a collection of papers presented at the Tenth Biennial Conference of the European Research Group on Military and Society (ERGOMAS) at the Swedish National Defense College in Stockholm in June 2009. In total, the fifteen chapters and introduction cover a wide variety of issues in a host of European countries focused on the subjects of recruitment and retention. Chapter authors represent a diverse field of academics, researchers, military sociologists, historians, and political scientists. The collection of narrowly focused chapters are loosely organized into four topics: demographic aspects and minorities in the armed forces; conscript-based armed forces and recruitment; the professionalization of armed forces; and the recruitment and retention of professional soldiers in the armed forces. Fortunately, the editors have prepared an overarching introduction that distills the independent findings into broad conclusions while highlighting the notable offerings contained in each chapter. Having abandoned conscription as a national policy nearly forty years ago, an American might ask what could possibly be gained by wading through a book solely focused on Europe's growing pains with the same transition. Those calling for a return to conscription as a means to reconnect the United States' people to the United States' armed forces will be equally disappointed to learn that two of the three countries featured in the conscription section have subsequently abandoned the practice, most notably Germany. For all the differences between the United States and Europe, common themes do emerge such as the influence of demography, education, personal values, health, and the effect of expeditionary operations. As it turns out, the United States is not as unique as we often think it is, at least when it comes to gathering the raw material to build an army and retaining those who have been trained. Tradeoffs associated with quality versus quantity are present on the Continent and in the United Kingdom. The volatility of the labor market precludes long-term planning as well. And perhaps the most interesting term to emerge from the book, post materialist, captures the idea that European youth is just not that interested in national service. …
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.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».