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Enregistrement W2031747183

Surging Security Force Assistance in Afghanistan

2011· article· en· W2031747183 sur OpenAlexaboutno aff
William B. Caldwell, Derek S. Reveron

Notice bibliographique

RevueMilitary review · 2011
Typearticle
Langueen
DomaineSocial Sciences
ThématiquePolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAfghanPer capitaPolitical scienceSecurity forcesGovernment (linguistics)Economic growthPublic administrationLawSociologyDemographyPopulationEconomicsPolitics
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

[ILLUSTRATION OMITTED] WHEN THE UNITED States surged an additional 30,000 troops to Afghanistan in 2009-10, they enabled the training of an additional 113,000 soldiers and police, a corresponding Afghan surge. Together, the combined force of 150,000 NATO troops and 305,000 National Army, Air Force, and Police has enabled the start of geographic transition, which began in July 2011 and will be complete by December 2014. Through the geographic transition process, NATO transfers lead responsibility to forces and shifts from a combat role to an advise and assist role. As forces train to assume lead, combined NATO-Afghan operations are also clearing insurgent strongholds in Helmand, Kandahar, and Kunduz Provinces. Normalcy is slowly returning to areas that once only knew war. Local militias are integrating into the formal structure, commerce is returning, and schools are opening. Afghanistan's gross domestic product has increased from $170 under the Taliban to $1,000 per capita in 2010. Almost all Afghans now have access to basic health services (only nine percent did in 2002). School enrollment increased from 900,000 (mainly boys) to almost seven million (37 percent girls). Women now serve in government, and female officers are even training to become pilots. Further, most of the country is now connected via mobile phones (15 million Afghans use mobile phones), highways, and a common purpose--to assume responsibility for its own development, governance, and security. While the surge is incomplete and still reversible, it was by no means pre-ordained. Though the international community had been supporting the government, military, and police for several years, efforts suffered from limited resources and poor unity of effort. In 2009, the force was underpaid, poorly trained, ill-equipped, illiterate, and poorly led. The National Army could not conduct counterinsurgency operations, and soldiers were deserting faster than could be recruited. The police were employed before being trained and lacked the armor needed to survive in a counterinsurgency environment. Their limited capabilities, poor morale, and leadership deficit could not prevent the Taliban from regrouping and conducting attacks. Numerous government and nongovernment studies documented rising violence rates and the shortcomings in the National Security Force. In spite of these challenges, the international community committed to grow the force in 2009 and rebuild the army, air force, and police through a security force assistance surge. Investing in Unity of Command Recognizing the shortcomings of the past and the challenges for the future, a concerted effort was made to unify international action when NATO Training Mission-Afghanistan (NTM-A) was created in November 2009. The command linked the resources of the U.S.-led Combined Security Transition Command-Afghanistan (CSTC-A) with the depth and expertise of a NATO command. As a dual-hatted command, critical professional gaps could be filled by NATO countries. At the same time, NTM-A was organized to support the ministries it was charged to advise and develop. For example, a single intelligence director was responsible for both providing intelligence to the command and partnering with the army and police intelligence to train, advise, and assist. The same was true across the J-coded staff, which is matrixed to deputy commanding generals responsible for developing the army, air force, and police. [FIGURE 1 OMITTED] The true benefit of the unified command of CSTC-A and NTM-A, however, was evident when it came to police training. For years, think tanks documented the poor results of police training efforts by disparate organizations. However, as a NATO command, NTM-A was able to leverage the expertise from national police forces like the Italian Carabinieri, French Gendarme, Spanish Guardia Civil, and the Royal Canadian Mounted Police. …

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,056
Score d'incertitude au seuil0,153

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0060,001
Communication savante0,0020,002
Science ouverte0,0010,003
Intégrité de la recherche0,0040,004
Charge utile insuffisante (le modèle a refusé de juger)0,0460,006

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 Opus0,053
Tête enseignante GPT0,314
Écart entre enseignants0,261 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
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

Citations1
Publié2011
Routes d'admission1
Résumé présentoui

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