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Enregistrement W2994023442

A Causal Model of Warfare

2001· article· en· W2994023442 sur OpenAlexaboutno aff
Alan D. Zimm

Notice bibliographique

RevueMilitary review · 2001
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueMilitary History and Strategy
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésVictoryAdversaryLawPower (physics)Decisive victorySociologyLaw and economicsComputer securityPolitical sciencePoliticsComputer science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Regardless of whether its mechanism is or warfare, military victory often depends on intangibles such as morale and will to fight Zimm crafts a model to explain how warfare targets those intangibles and triggers psychological results that are more decisive than physical ones. CURRENT US MARINE Corps doctrine dating from 1989 issue of Fleet Marine Force Manual 1, Warfighting, espouses warfare.' Maneuver shatters the cohesion of system, achieving victory by paralyzing an enemy who has lost ability to resist. 2 This concept identifies as a weapon. The US Army concept of is less ambitious. Maneuver is relative to to put him at a disadvantage, wherein friendly forces gain ability to destroy or hinder his movement through direct or indirect application of lethal power or threat thereof.3 Victory is achieved through applying overwhelming combat power. These two contrasting concepts have been labeled as maneuver versus attrition or schools; merits of each have been extensively debated.4 Supporters cite historical examples in which their system of warfare resulted in victory. However, of outcome does not imply a similarity of process.' Military theorists struggle with a chicken and egg conundrum: destruction can cause panic and paralysis, and panic and paralysis facilitate destruction. Which is primary path to victory? On Victory History suggests that there are indeed two mechanisms-physical and moral-of victory: destroying or incapacitating opponent physically and destroying his will. In physical mechanism of victory, defeated side is annihilated. Cannae, Thermopylae, Fetterman massacre, Little Big Horn, Iwo Jima and Isandhlwana are examples. But in vast reach of history, examples of annihilation are mercifully few. Such battles are stuff of epics, and like epics, they are rare. Soldiers rarely fight to last man. Characteristically, they surrender, retreat or run in panic well before extermination. At Waterloo, French Army collapsed after Imperial Guard failed to break British line. Destruction had been widespread; French had already suffered about 15,000 casualties. But defeat came when remaining 60,000 no longer had will to stand. Some have noted that destruction and death are primary mechanisms to undermine morale and have concluded that firepower is sufficient for victory. But physical destruction is not only way to influence morale. While there are examples of resolving battles by annihilating physically, there are more examples of battles being resolved purely by destroying enemy's morale and will to fight During English King Henry V's campaign in France, [w]hen fall of Rouen became known, rest of Normandy quickly submitted. Often it was sufficient for Henry's captains to appear in front of a town or a castle for it to surrender.6 During War of Spanish Succession, many fortresses and fortified towns surrendered without a fight after Duke of Marlborough's spectacular victory at Ramillies.7 At sea it was common for warships to surrender to a more powerful opponent without exchanging a shot; confrontations were resolved with only threat of destruction. Perhaps most curious example of purely moral mechanism of victory is case of capitulating a full field army. At onset of War of 1812, Brigadier General William Hull ... withdrew to village of Detroit on 11 August Five days later, Major General Isaac Brock, British commander in Upper Canada, moved on Detroit with a much smaller force of regulars, militia and Indians. In a colossal bluff, he urged Hull to surrender, explaining that, once fighting commenced, he would be unable to control his Indians and a massacre might result. …

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)0,003
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,038
Score d'incertitude au seuil0,127

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,007
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,002
Études des sciences et des technologies0,0020,005
Communication savante0,0040,007
Science ouverte0,0020,002
Intégrité de la recherche0,0030,003
Charge utile insuffisante (le modèle a refusé de juger)0,0380,003

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 Opus0,081
Tête enseignante GPT0,334
Écart entre enseignants0,252 · 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'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

Citations1
Publié2001
Routes d'admission1
Résumé présentoui

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