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Record W2567376231 · doi:10.21236/ad1001863

On Trust: A Hard Look at Canadian Senior Officer Relationships During the Italian Campaign

2015· report· en· W2567376231 on OpenAlexaboutno aff
Jim Smith

Bibliographic record

Venuenot available
Typereport
Languageen
FieldSocial Sciences
TopicMilitary History and Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsOfficerManagementPolitical scienceLawEconomics

Abstract

fetched live from OpenAlex

Trust and leadership go hand in hand. Trust facilitates risk taking, overcomes emotional resistance, and reinforces existing organizational norms and thus is essential to successful military leadership. This monograph examines the performance of three Canadian general officers during the Italian Campaign of World War II--Hoffmeister, Vokes, and Burns--with each case building on the last. Ending with a study of Burns explores the issues that ultimately led to his demise as a field commander. The study uses Beer's model of change (D + M + P = C), with trust added as a lens--D + M + P + (T) = C--to examine their performance as leaders and commanders. Using Beer's model to examine the leadership of these three general officers will demonstrate that trust is the missing component for this model to be an accurate leadership tool when attempting to influence behavior. In addition to the standard secondary sources, an array of journals, after-action reports, and memoirs provide context. Official archive reports offer primary evidence for the ultimate evaluation. The findings are analyzed against current theory and American and Canadian leadership doctrine. This study then provides recommendations for improving how leaders are educated and trained for positions of responsibility and, perhaps, provide a revised definition of trust.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, 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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.299
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.091
GPT teacher head0.301
Teacher spread0.210 · 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
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

Citations0
Published2015
Admission routes1
Has abstractyes

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