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Enregistrement W2596796862

Transformative Staff Training in Ukraine

2016· article· en· W2596796862 sur OpenAlexaboutno aff
Nick Ducich, Nathan A. Minami, Ryan Riggin, Jacob Austin

Notice bibliographique

RevueMilitary review · 2016
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueMilitary, Security, and Education Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésUkrainianInfantryNorth Atlantic TreatyPeacekeepingPolitical scienceCommissionLithuanianMilitary doctrineAcquiescenceLawPublic administrationDoctrinePolitics
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The events of March 2014 shocked the world: Russian forces invaded Crimea, and Russia annexed the Donbass region of eastern Ukraine. Subsequently, the Russians employed hybrid tactics that included using conventional forces and Russia-sponsored separatists to destabilize eastern Ukraine (which is on the Russian border). In response, the Ukrainian government authorized antiterrorism operations in Donbass. To support Ukraine, the North Atlantic Treaty Organization (NATO) formed the NATO-Ukraine Commission (NUC). The NUC includes the NATO-Ukraine Joint Working Group on Defence Reform, which conducts security force assistance. In addition, the United States, Canada, Lithuania, United Kingdom, Estonia, and Ukraine created the Joint Multinational Training Group-Ukraine (JMTG-U) to conduct complementary efforts for robust defense reform. The JMTG-U, comprised of a brigade-level headquarters that included U.S., Canadian, and Lithuanian instructors, was tasked with training five Ukrainian battalions, developing a combat training center capability, supporting a doctrine-and-education advisory group, and providing mission command for a task force from the U.S. Army 3rd Battalion, 15th Infantry Regiment. This article is written from the perspective of officers from that task force, which was the partner-and-advise training team (PATT) battalion headquarters at the International Peacekeeping and Security Center (IPSC) in Yavoriv, Ukraine, from 15 February 2016 until 17 July 2016. The 3rd Battalion, 15th Infantry Regiment's task force trained two Ukrainian battalions; this article focuses on the first. The PATT headquarters developed training that transformed a Ukrainian airborne battalion staff from an antiquated and centralized Soviet command style to a contemporary mission-command focus. In contrast to the Soviet command style, using mission command would help optimize warfighting function integration and staff functional capability. The PATT's leaders understood that a traditional training approach would not accomplish the desired transformation. Therefore, the PATT used Army design methodology to develop problem-solving and instructional approaches that would incorporate action learning and andragogy. Framing the Operational Environment The dissolution of the Soviet Union in 1991 resulted in Ukraine possessing the fourth largest army in the world and a nuclear capability. Within twenty years, political and economic strife mixed with in-depth corruption and forfeiture of its nuclear arsenal (due to a diplomatic agreement) degraded the Ukrainian military to a shadow of its previous strength. Following unrest in western Ukraine in late 2013 and early 2014, pro-Russian separatists seized key government buildings in the east in April 2014. Ukrainian forces, still operating under antiquated Soviet military principles, began antiterrorism operations in the Donbass region in June 2014. However, since increasingly large numbers of Russian regular forces were covertly aiding the separatists, the probability of successful antiterrorism operations was limited. Moreover, a Ukrainian field-grade officer explained to the PATT trainers that the Ukrainians learned during antiterrorism operations in eastern Ukraine that the old system did not work. He said they would need to learn a new way of fighting. (1) Although most Ukrainian forces withdrew from the Donbass region in early 2015, some battalions are still being deployed for antiterrorism operations as of 2016. [ILLUSTRATION OMITTED] The ability to recognize and execute transformational change tests any large organization. The PATT headquarters quickly observed that although Ukrainian unit leaders were patriotic, hardworking, and dedicated to mission accomplishment, they adhered to a centralized-control organizational structure, thereby limiting their ability to integrate warfighting functions. During the first week of training, a shocked senior Ukrainian officer asked the PATT instructors if they always allowed company commanders to plan training and train wherever they wanted. …

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)0,004
score de la tête « metaresearch » (Gemma)0,005
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 enseignants0,017
Score d'incertitude au seuil0,074

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0100,004
Communication savante0,0040,002
Science ouverte0,0010,012
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0130,003

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 Opus0,074
Tête enseignante GPT0,360
Écart entre enseignants0,286 · 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
Publié2016
Routes d'admission1
Résumé présentoui

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