MétaCan
Menu
← Back to cohort
Record W6960113391 · doi:10.11575/prism/40662

Canada's Future in the Indo-Pacific: The Need for Strategic Policy

2022· other· en· W6960113391 on OpenAlexaboutno aff

Bibliographic record

VenuePRISM (University of Calgary) · 2022
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic diversity and population structure
Canadian institutionsnot available
Fundersnot available
KeywordsMultitudeOrder (exchange)National securityKey (lock)Security policyCapstoneStrategic planningInternational security

Abstract

fetched live from OpenAlex

The Indo-Pacific region is home to some of the largest populations and fastest growing economies in the world. It is a region critical to global supply chains, as it hosts major ports and sea routes through which goods to countries around the world, including Canada, pass through daily. At the same time, it is a region in which a multitude of security challenges threaten to upend regional stability and erode the international rules and norms upon which Canada relies. Despite Canada's critical economic and security interests in the Indo-Pacific, it does not yet have a policy that articulates these interests, identifies key challenges, and sets out goals for the region in order to establish a long-term strategic vision behind its engagement there. This capstone will demonstrate the need for a comprehensive policy for the region by conducting a critical analysis of the opinions of experts and examining the strategies of like-minded countries before ultimately providing recommendations on what economic, diplomatic, and security priorities should be included in an Indo-Pacific policy.

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)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.090
Threshold uncertainty score0.655

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0200.011
Scholarly communication0.0150.005
Open science0.0030.006
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0090.001

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 head0.008
GPT teacher head0.193
Teacher spread0.185 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venuePRISM (University of Calgary)→Same topicGenetic diversity and population structure→French-language works237,207→