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Record W2142704929 · doi:10.1080/11926422.2007.9673445

The Achilles heel of Canadian international citizenship: Indigenous diplomacies and state responses

2007· article· en· W2142704929 on OpenAlexaffabout
P. Whitney Lackenbauer, Andrew F. Cooper

Bibliographic record

VenueCanadian Foreign Policy Journal · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsCentre for International Governance InnovationUniversity of WaterlooSt. Jerome's University
Fundersnot available
KeywordsIndigenousMainstreamPolitical scienceDiplomacyIdentity (music)ShameState (computer science)CitizenshipIndigenous rightsGender studiesHuman rightsPolitical economySociologyLawPolitics

Abstract

fetched live from OpenAlex

At the core of Canada's identity as a diplomatic actor is the image of good international citizenship, but Indigenous issues highlight the gap between this self‐image and flaws in its record. Unlike the situational aspects of targeting specific governments for their human rights records, the Indigenous question is an embedded structural predicament, juxtaposing the mainstream identity of Canada as a country with a colonial past and the identity among the Aboriginal peoples of Canada as territorial occupants. The full extent of this predicament – the “Achilles heel” of Canada's international image – needs to be more fully appreciated in the workings of Canadian foreign policy. Aboriginal representatives, borrowing some of the most Canadian habits of diplomacy, have adopted blame and shame tactics designed to exploit Canadian discomfort. The seriousness with which Canadian diplomats have dealt with these challenges is striking. Using historical and contemporary case studies, this article unpacks and analyses evolving strategies to assert and constrain Indigenous rights and forces on the international stage.

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.752

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0460.020
Scholarly communication0.0090.002
Open science0.0010.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.000

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 head0.027
GPT teacher head0.317
Teacher spread0.291 · 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 designQualitative
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

Citations20
Published2007
Admission routes2
Has abstractyes

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Same venueCanadian Foreign Policy JournalSame topicArctic and Russian Policy StudiesFrench-language works237,207