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Record W4391203943 · doi:10.5040/9798400687280

Montgomery and Colossal Cracks

2000· book· en· W4391203943 on OpenAlexaboutno aff
Stephen Hart

Bibliographic record

VenueGreenwood Publishing Group Inc. eBooks · 2000
Typebook
Languageen
FieldSocial Sciences
TopicMilitary and Defense Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeology

Abstract

fetched live from OpenAlex

A reinterpretation of the British Army's conduct in the crucial 1944-45 Northwest Europe campaign, this work examines systematically the Colossal Cracks operational technique employed by Montgomery's Anglo-Canadian 21st Army Group and demonstrates the key significance that morale and casualty concerns exerted on this technique. To ensure a full understanding of the campaign, one needs to look not only at Montgomery's methods but at those of his army commanders, Dempsey and Crerar; thus, this study addresses the scant attention to date paid to these two figures. Hart suggests that Montgomery and his two senior subordinates handled this formation more effectively than some scholars have suggested. In fact, Colossal Cracks, the concentration of massive force at a point of German weakness, represented the most appropriate weapon the 1944 British Army could develop under the circumstances. Previous studies have been characterized by an overemphasis on Montgomery's role in the campaign, rather than a systematic examination of overall British methods. They have ignored the difficulties that the 1944 British Army faced given its manpower shortage, and they have underestimated the appropriateness of Monty's methods to the campaign war aims that Britain pursued: namely, the desire that Britain's modest military forces secure a high profile within a larger Allied effort. The cautious, firepower-laden approach used by the 21st Army Group was both crude and a double-edged sword; however, despite these weaknesses, Colossal Cracks represented an appropriate technique given the nature of British war aims and the relative capabilities of the forces involved. It proved to be just enough to defeat the Germans and keep alive British hopes that her war aims might be achieved.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.272
Threshold uncertainty score0.541

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.015
Scholarly communication0.0050.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.021
GPT teacher head0.247
Teacher spread0.226 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations10
Published2000
Admission routes1
Has abstractyes

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Same venueGreenwood Publishing Group Inc. eBooksSame topicMilitary and Defense StudiesFrench-language works237,207