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Canadians in Trouble Abroad: Citizenship, Personal Security, and North American Regionalization

2007· article· en· W1804755943 on OpenAlex

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

VenuePolitics &amp Policy · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCitizenshipGovernment (linguistics)Context (archaeology)PoliticsPolitical scienceState (computer science)Public administrationSociologyLawGeography

Abstract

fetched live from OpenAlex

This article concerns itself with what happens to the universal/particular character of citizenship in the context of North American regionalization. It takes as a starting point several incidents where Canadian citizens have called on their government to help them through crisis situations abroad, and then taken it to task for not helping enough. The cases analysed involve Canadian tourists in Mexico who died violently and whose families have used the media to pressure the Canadian government to obtain justice from Mexico. Mass calls for help following natural disasters and war, and the case of Maher Arar, a Canadian citizen “rendered” by the United States to Syria where he was tortured, are also considered to conceptualize “citizens in trouble abroad” claims. The article finds that such claims reinforce a Canadian sense of citizenship where political identity remains rooted firmly with(in) the nation‐state, despite the country's engagement in a deep regionalization project. Maher Arar is a Canadian citizen. 1

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score0.663

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.023
GPT teacher head0.322
Teacher spread0.299 · 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