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Record W3016553581 · doi:10.1177/0020702020915634

Overcoming the NPT’s “institutional deficit”: A Canadian saga

2020· article· en· W3016553581 on OpenAlexaffabout
Paul Meyer

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsAccountabilityTreatyPolitical scienceDiplomacyOpposition (politics)Public administrationRealmDemocratic deficitLawPoliticsDemocracy

Abstract

fetched live from OpenAlex

Ever since the Nuclear Non-Proliferation Treaty was indefinitely extended in 1995, Canada has promoted the concept of “permanence with accountability.” Canada led on an ambitious initiative to enhance accountability via a reform package to overcome the NPT’s “institutional deficit.” Launched prior to the failed 2005 Review Conference, the effort was sustained for a decade. The priority goals were to establish annual meetings of states parties; to create a standing body of past, present, and future chairs; and to provide for the convening of extraordinary meetings. These ideas attracted support, but also opposition, from quarters less interested in having more effective tools of accountability put into place. The history of this initiative sheds light on the dynamics of multilateral diplomacy in the nuclear realm and on weaknesses in the Nuclear Non-Proliferation Treaty process that continue to threaten the authority of the treaty.

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)0.043
metaresearch head score (Gemma)0.072
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.819
Threshold uncertainty score0.950

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0430.072
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.007
Science and technology studies0.0260.022
Scholarly communication0.0210.013
Open science0.0050.009
Research integrity0.0140.018
Insufficient payload (model declined to judge)0.0070.001

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 head0.021
GPT teacher head0.299
Teacher spread0.278 · 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
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

Citations2
Published2020
Admission routes2
Has abstractyes

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