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Record W2060642868 · doi:10.1080/13621021003594890

‘In Canada of all places’: national belonging and the lost Canadians

2010· article· en· W2060642868 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

VenueCitizenship Studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCitizenshipKinshipNationalismDemocracyEthnic groupNoticePhenomenonSociologyIdentity (music)National identityLiberal democracyGender studiesPolitical scienceLawEpistemologyPoliticsAesthetics

Abstract

fetched live from OpenAlex

This paper explores the role of kinship and ethnicity in the designation of Canadian citizenship. Using the phenomenon of Lost Canadians – people whose citizenship status is ambiguous due to conflicting laws, unfamiliarity with requirements to maintain citizenship and quixotic enforcement of these requirements – the paper offers evidence for the kinship basis of a contemporary liberal democracy and reveals the degree to which a Canadian ethnic identity is operative in this settler society. But the objective of the analytical exercise is not to rest at the observation that Canadian nationalism is ethnic. Rather, by examining the ways in which the complex rules of Canadian citizenship define or exclude people from citizenship, we see how thoroughly rule-bound the status of national belonging really is. It thus might be observed that Canadian nationalism, indeed, all nationalisms, are civic since they rest on rules for belonging. Once we notice the rule-boundedness of belonging it becomes possible to disentangle these rules – kinship rules – from their connections to nature and biology and thus to appreciate their social character. From this vantage we might begin to think about alternative, and potentially more democratic, forms of belonging.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.507

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.020
GPT teacher head0.264
Teacher spread0.244 · 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