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Enregistrement W4297819080 · doi:10.17994/it.2022.20.1.68.7

Evolution of United States’ Private Military and Security Companies: The Case of Afghanistan 2001–2021

2022· article· en· W4297819080 sur OpenAlexaboutno aff
E. Korol’kova

Notice bibliographique

RevueInternational Trends / Mezhdunarodnye protsessy · 2022
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueMilitary and Defense Studies
Établissements canadiensnon disponible
Organismes subventionnairesUniversity of OxfordBrown UniversityUniversity of CambridgeU.S. Department of Defense
Mots-clésDemocratizationGovernment (linguistics)TerrorismPolitical scienceNational securityQuarter (Canadian coin)International securityPublic administrationEconomic growthLawDemocracyPoliticsEconomicsGeography

Résumé

récupéré en direct d'OpenAlex

The withdrawal of troops on 31 August 2021 which was carried out in accordance with the Agreement signed on 29 February 2020 between the U.S. government and the Taliban (an international terrorist organization banned in the Russian Federation) marked the end of the international military campaign in Afghanistan which lasted twenty years. Assessing the preliminary outcomes of nearly a quarter-century of the US military and their NATO allies’ presence in Afghanistan, U.S. President Joseph Biden announced the end of “an era of major military operations to remake other countries”. Though the consequences of the Western coalition campaign in the area remain to be evaluated and they are unlikely to turn out to be unequivocal, the Atlantic strategy aimed at rebuilding and democratization of Afghanistan proved itself as bankrupt. Our research focuses on the way the twenty-year military campaign in Afghanistan affected the development of the U.S. private military and security companies (PMSC) industry. For these purposes, we, firstly, studied and traced the transformation of the private military and security services market in the U.S., and examined the changes of approaches and mechanisms used to contract PMSCs. Secondly, we analyzed the way the U.S. authorities addressed the challenges new market evoked, focusing on the measures of legal regulation that were applied to PMSCs, and the way the working of the U.S. institutional mechanisms was transforming. The final part of the research contains conclusions on the perspectives for the development of the American PMSC industry after the withdrawal of the U.S. troops from Afghanistan. We believe that due to its duration and continuity, the Afghan operation ensured a launchpad for the PMSC industry and provided conditions for private military and security companies to acquire and master high-end experience which in turn, contributed to the development of a certain market that goes well beyond the involvement of conventional human capital. It provided solutions for the production, utilization, and maintenance of the equipment and technologies, allowing the minimization of the direct participation of specialists in hostilities. Alongside the development of the American PMSC industry itself, the research studies the investigations conducted by the U.S. authorities into the cases of abuse committed by the contractors during their participation in Afghan war. It discusses the way this practice encouraged the transformations of United States procedures and mechanisms aimed at reducing malpractice when performing contracts and launched changes in U.S. legislation. It also demonstrates the lessons learned by the U.S. from the contractual practice with regard to the regulation of PMSCs. The research reveals the strengths and weaknesses of the American policy regarding PMSCs during the whole period of the military conflict in Afghanistan and helps to evaluate the success of the U.S. efforts in monitoring contractors across Afghanistan. To conclude, we reckon that considerable contractual experience acquired in Afghanistan ensures technological and procedural progress of the U.S. PMSC industry. Given the enduring rivalry between the U.S., Russia, and China, including in the military and technological spheres, the twenty-year experience of direct participation in hostilities by U.S. PMSCs boosted its competitive advantage compared to Russia and China, whose PMSCs still lack such an experience.

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,610
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,024
Tête enseignante GPT0,317
Écart entre enseignants0,293 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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