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Record W223752060

Restraint in Urban Warfare: The Canadian Attack on Groningen, Netherlands, 13-16 April 1945

2013· article· en· W223752060 on OpenAlexaboutno aff
Jeffrey D Noll

Bibliographic record

VenueIke Skelton Combined Arms Research Library (CARL) Digital Library (US Army Combined Arms Center) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicPacific and Southeast Asian Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFirepowerLimitingDilemmaPopulationPolitical sciencePoliticsLawComputer securityEngineeringGeographySociologyComputer science
DOInot available

Abstract

fetched live from OpenAlex

Urban terrain presents significant tactical challenges to attacking armies, limiting weapons effects and mobility while disrupting formations and command and control. The human terrain in cities creates a tactical dilemma, placing large civilian populations in close proximity to the fighting. The issue of restraint in urban warfare has been described as a modern phenomenon, with urban warfare in World War II characterized as unlimited. In April 1945, however, the Canadian Army limited its firepower while attacking the city of Groningen, Netherlands to limit damage and civilian casualties. This thesis examines the reasons for these restraints and the methods used to balance those restraints with accomplishment of the mission. The Canadians limited their use of force for political reasons based on intent from the British. They accomplished their mission due to intelligence gained from the friendly population, local fire superiority gained by tanks and flamethrowers, and the ineffectiveness of the poorly organized and equipped German defense. This thesis provides a historical case study of the reasons for restraint in urban warfare and the tactical challenges associated with such limitations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.501
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0030.003
Scholarly communication0.0050.008
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.289
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

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