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Record W2128321013

USAWC Strategy Research Project: An Evaluation of the Canadian-Us Armies Reserve Relationship

2004· article· en· W2128321013 on OpenAlexvenueaboutno aff
Lieutenant Colonel Christopher M. Lamoureux

Bibliographic record

VenueJournal of military and strategic studies · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceOfficerNational securityOrder (exchange)Public administrationWork (physics)Public relationsValue (mathematics)BusinessEngineeringLawFinance
DOInot available

Abstract

fetched live from OpenAlex

The Armies Reserve of Canada and the United States have held six general officer summits since 1999. The purpose of these summits is to: forge personal relationships; exchange information; improve interoperability by training individuals and units in each other’s formations; and improve overall capabilities by training reserve soldiers in each other’s core competencies. But, senior leadership in both armies at national headquarters level and at major command level are oblivious to these meetings and to their potential. Furthermore, the activities of this forum are usually not coordinated, either vertically or horizontally, with other international activities of higher headquarters. This study evaluates the Canada-US Armies Reserve relationship using the process of the American Army International Activities Plan. First, it measures the stated purpose of this forum against national policy and doctrine of both countries. Then, it evaluates the value of the forum to national security using three criteria: the number and rank of senior leadership that attend; the perceptions of senior leadership as to the utility of this forum; and the work accomplished, on-going, and planned of the forum. The evaluation is that the forum is consistent with national policy and that it does have value and great potential. It is relevant and good for national security. However, the relationship must be reinvigorated with Terms of Reference and a strategic sponsor. That sponsor should be NORTHCOM in order to “put in place a framework and structure that transcends the personalities of the participants.”

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)0.023
metaresearch head score (Gemma)0.046
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score0.956

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.046
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.011
Science and technology studies0.0150.005
Scholarly communication0.0090.004
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.429
GPT teacher head0.474
Teacher spread0.045 · 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 designQualitative
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
Published2004
Admission routes2
Has abstractyes

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