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Record W4391670302

Threat-based defence planning : implications for Canada

2021· report· en· W4391670302 on OpenAlex
Laurent Borzillo, Philippe Dumas, Maxandre Fortier, Hannah Hollander, Bibi Imre‐Millei, Justin Massie, Marco Munier, Heni Pupco, Camille Raymond

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2021
Typereport
Languageen
FieldSocial Sciences
TopicNuclear Issues and Defense
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsBusinessChemistryEnvironmental planningEnvironmental science
DOInot available

Abstract

fetched live from OpenAlex

The Network for Strategic Analysis (NSA) has been tasked by the Canadian Joint Operations Command (CJOC) to conduct a comparative study on defence planning. Three sets of questions guide this report: 1) What is the regional, global and threat-based approach to operational and strategic planning? What are the pros and cons of each of them in the 21st century? 2) Who is using each of them now and why did they adopt them? How do the users of the global and threat-based approach feel about alternative frameworks? 3) What lessons can be learned for Canada? The report is divided in three parts. The first section presents the main approaches to force planning, their respective strengths and weaknesses, and illustrates them with the evolution of U.S. force planning. The second section reviews the current defence planning of seven allies and partners: Australia, France, Israel, Italy, Norway, Sweden, and the United Kingdom. The last section presents some policy considerations for Canada.

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.

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)0.005
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.722
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.043
GPT teacher head0.310
Teacher spread0.267 · 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