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Operation Assistance: Canadian Civil Power Operations

2001· article· en· W235508859 sur OpenAlexaboutno aff
W. Semianiw

Notice bibliographique

RevueMilitary review · 2001
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueCanadian Identity and History
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésInfantryJurisdictionAgency (philosophy)Public administrationGovernment (linguistics)Unit (ring theory)Flood mythLocal governmentPolitical scienceLawSociologyGeographyArchaeology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

INSIGHTS Canada's military forces have a long history of coming to the aid of civil powers during national emergencies. In every instance, military forces cooperated closely with civil authorities to accomplish necessary tasks. This was also the case during Operation Assistance, when Canadian Forces (CF) gave support to the Manitoba government during the of 1997-Canada's flood of the century. The First Battalion Princess Patricia's Canadian Light Infantry of Calgary, Alberta, deployed to an area of approximately 500 square kilometers south of Winnipeg, Manitoba, north of Grand Forks, North Dakota. The area included five regional municipalities (RMs) each with its own elected rural official (Reeve). Each RM, under the direction of its Reeve, was the lead agency local operations. All CF units were to support and assist the RMs. The operation provided many lessons learned from aiding civil powers during a natural disaster. Players and Boundaries At the tactical level, the players during the crisis included varied groups of government and nongovernment, civilian, and commercial interests. In Manitoba this included the Reeve, his public administrator, the local fire department, the Royal Canadian Mounted Police (provincial jurisdiction), the Ministry of Natural Resources, Manitoba Hydro, Manitoba Telephone, Manitoba Highways, Manitoba Emergency Measures Organization (EMO), and the mayors and councils of affected towns. That lines of operation crossed municipal, provincial, and federal jurisdictions quickly became evident. Each agency had its own area of responsibility and coverage, but areas often overlapped, thus increasing the strain on coordination. However, agencies that aligned along municipal boundaries or congruence with the lead agency found their support efforts simplified and streamlined. The tasks the military were to perform centered on general duties such as filling sandbags, building dikes, or performing rescue, traffic control, or escort duties. Because large urban and county areas would be uninhabited, providing armed security was, at first, viewed as a probable task. However, this did not prove to be necessary. Sufficient police resources were available and were deployed effectively to permit or deny access to controlled areas. To achieve the tasks expected of them, the military organization of company, squadron, and battery, with their inherent mobility, communications, and general-purpose soldiers, proved to be best suited for the tasks that were to be conducted. Military Force Organization During the staff planning process, planners arrived at two options for the organization of military forces support of civil authorities. Military forces could take a centralized approach which the unit would control and allocate resources to civil authorities based on the task, or they could take a decentralized approach which each RM would be assigned a slice of the pie. Situation analysis revealed that a decentralized approach would be best because it best fulfilled the need for simplicity, time, and space; unity of effort; and unity of command and control. Rifle companies in support. Rifle companies were allocated support to RMs. Major towns, where dikes had been built before the flood, received as a military point of contact, a liaison officer (LO), who was generally a senior noncommissioned officer. Twining a rifle company with an RM and placing an LO each town proved to be effective. Civil authorities each RM and the towns preferred to work with the same commander for all aspects of the operation. Local officials and military commanders developed relationships and dependencies that proved beneficial. Also, military commanders became versed the nature of the crisis and the needs associated with their RMs and towns. Each RM and town had its own way of fighting the and supporting its residents. …

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)0,001
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: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,137
Score d'incertitude au seuil0,993

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,005
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0050,010
Études des sciences et des technologies0,0100,002
Communication savante0,0060,002
Science ouverte0,0010,002
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0410,003

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 Opus0,018
Tête enseignante GPT0,267
Écart entre enseignants0,250 · 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'étudeSans objet
Domainenon disponible
GenreAutre

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
Publié2001
Routes d'admission1
Résumé présentoui

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