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Record W3133251869

The Canadian Armed Forces Primary Reserves and Aid to the Civil Power: Maximizing Service and Minimizing Risk for Canadians

2021· article· en· W3133251869 on OpenAlexaffvenueabout
Michael George Fejes

Bibliographic record

VenueJournal of military and strategic studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary and Defense Studies
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsGovernment (linguistics)Service (business)Scale (ratio)BusinessCivil servicePower (physics)Public administrationSet (abstract data type)Political sciencePublic serviceMarketingComputer science
DOInot available

Abstract

fetched live from OpenAlex

Abstract: Over the past twenty years, domestic military operations in Canada have seen a dramatic increase in the employment of the Primary Reserve (PRes) alongside the Regular Force. This raises an important question regarding how, in an evolving environment, the PRes can be successfully employed in future aid to the civil power roles? This paper argues that the current organization and terms of service for the PRes are not properly structured and mandated to support any large-scale and sustained aid to the civil power operation - and that this forces Canadians to accept risk when it comes to domestic national security. Theoretically, Canadians have relied for decades on what Sokolsky and Leuprecht have defined as an easy rider approach; where the government contributes just enough resources to ensure that the Canadian public respects and values the military effort.  As demands increase, future domestic operations may now have to adapt to a new approach where the criteria for success becomes crisis resolution rather than crisis contribution. By examining the current roles and framework under which the PRes operates, the legal obligations that are currently in force, and the proposal that the PRes assume primary responsibility for domestic response operations, this paper concludes that assigning new roles and responsibilities to the PRes without additional legal obligations will not set the conditions for success should a large scale or lengthy call out be required. (230 words)

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.814
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.048
GPT teacher head0.296
Teacher spread0.248 · 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 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
Published2021
Admission routes3
Has abstractyes

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