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Record W2972436453 · doi:10.69554/juco9467

Military support of civil anthorities: Lessons learned at Canada Command one year after becoming operational

2007· article· en· W2972436453 on OpenAlexaboutno aff
Lieutenant-General Marc J. Dumais

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary and Defense Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAeronauticsPolitical scienceOperational level of warOperations researchCivil defenseEngineeringSpanish Civil WarLawRed Army's tactics in World War II

Abstract

fetched live from OpenAlex

Canada’s military now treats its sovereign territory as a clearly defined theatre of operations under a single operational command, Canada Command. Under this structure, there are six regional joint task forces and one central joint operations and planning staff. These regional structures were achieved with relatively light investment by double-hatting existing operational-level military formations. While this presents some challenges in terms of competing requirements, these are outweighed by the advantages of the more coherent and focused domestic structure. The first 18 months of operations have demonstrated that an interagency approach is the key to achieving Canada Command’s mission. Numerous routine and several contingency operations, including support to potentially catastrophic flooding in western Canada, have generated a number of valuable lessons learned. On a daily basis, Canada Command works closely with its domestic partners in Canada, as well as its continental partners to the south, US Northern Command and the binational North American Aerospace Defense Command. While much work remains to be done in the evolution of its domestic role, Canada Command is now the ‘go-to’ organisation in the Canadian Forces for matters of domestic defence and security.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.052
GPT teacher head0.320
Teacher spread0.268 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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