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Record W2493901148 · doi:10.1057/9781137023735_7

The Ottawa Process: Domestic Interests, Transnational Civil Society, and State Identity

2013· book-chapter· en· W2493901148 on OpenAlexaffabout
Petrice R. Flowers

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2013
Typebook-chapter
Languageen
FieldSocial Sciences
TopicKorean Peninsula Historical and Political Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNegotiationTreatyConventionPolitical scienceState (computer science)LawMember stateEuropean unionPublic administrationInternational tradeMember statesBusiness

Abstract

fetched live from OpenAlex

The 1997 Convention to prohibit the production, use, transfer, and stockpiling of antipersonnel landmines (also known as the Ottawa Convention or Mine Ban Treaty) is a landmark accomplishment for two key reasons (Williams and Goose 1998; Lawson and Tomlinson 1998; Landmine Monitor 1). First, the speed with which treaty negotiations took place is unprecedented in international relations. Second, the negotiation process itself was remarkable because transnational non-state actors were an integral part of the process. Although both of these points have been the subjects of excellent scholarly inquiries (Price 1998; Anderson 2000; Rutherford 2001), few have attempted to understand the comprehensive role of three Minervian actors — Canada, the European Union, and Japan — in the Ottawa Process. The Ottawa Convention was negotiated, ratified, and entered into force without the support of the United States and despite objections from the largest producers of antipersonnel landmines. How was it possible for Canada, the EU, and Japan to overcome US objections to a comprehensive ban on antipersonnel (AP) landmines? Why would these three actors undertake this course of action, given the risks to their relations with the United States?

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)0.000
metaresearch head score (Gemma)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.937
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.020
GPT teacher head0.280
Teacher spread0.261 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2013
Admission routes2
Has abstractyes

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Same venuePalgrave Macmillan UK eBooksSame topicKorean Peninsula Historical and Political StudiesFrench-language works237,207