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Record W2942669818

Minefield Clearance and Casualties - Holland 1945 - Military Operations Research Unit Report No.7

2019· article· en· W2942669818 on OpenAlexaboutno aff
Roly Evans

Bibliographic record

VenueJMU Scholoraly Commons (James Madison University) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary and Defense Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMine actionAeronauticsUnit (ring theory)Operations researchEngineeringForensic engineeringComputer securityPolitical scienceLawComputer sciencePsychologyMathematics education
DOInot available

Abstract

fetched live from OpenAlex

In June and July 1945, two Royal Canadian Engineer officers, on their own initiative, carried out a review of the ongoing minefield clearance in Holland. The local military authorities deemed the review to be of significant value and therefore directed the Military Operational Research Unit to take up the study and “carry out a complete survey and analysis of all aspects of minefield clearance and casualties.” The study, entitled Military Operational Research Unit Report No.7 – Minefield Clearance and Casualties, Holland 1945 was initially intended to gather lessons about minefield clearance casualties in relation to combat. It became a significant study of demining during peace time. The resulting fifty-seven page document remains one of the best analyses of minefield clearance, time, and resulting casualties ever conducted. Arguably, it has not been equaled or surpassed since. To this day, few in mine action are even aware of it.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.792
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.060
GPT teacher head0.337
Teacher spread0.277 · 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 teacher head, not a consensus.

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

Citations1
Published2019
Admission routes1
Has abstractyes

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