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Record W4411077412 · doi:10.3138/9781487584597-045

Citizenship in the Twenty-First Century

2025· book-chapter· en· W4411077412 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Toronto Press eBooks · 2025
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsnot available
Fundersnot available
KeywordsCitizenshipHistoryPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

At the beginning of the twenty-first century, the rules pertaining to citizenship and naturalization had remained relatively stable for over twenty years.Then, as it had been under the 1977 legislation, Canadian citizenship was defined as a person born in Canada, 31 born abroad to Canadian parents, or naturalized in Canada.Immigration and citizenship reform was part of the Conservative Party's 2006 election platform.In 2008, it introduced amendments to the Citizenship Act. 32These focused on two main issues that had received considerable media coverage.The first was designed to resolve the situation of the lost Canadians.The second was aimed at limiting rights to the inheritance of Canadian citizenship. Lost CanadiansAn early campaigner for the lost Canadians was someone whose own citizenship unwittingly ended when his father became an American citizen.Don Chapman lobbied extensively throughout the 1990s for people like himself, whose citizenship had been lost due to changes in citizenship legislation.He convinced the Canadian Broadcasting Corporation to investigate the issue.The CBC found that over 200,000 individuals in Canada may have lost their citizenship due to gaps left by successive Citizenship Acts and regulations. 33 Many were unaware they were not Canadian, and only found out when they applied for a passport, claimed social security, or were required to undergo a security check for a new job.31 Excluding children of foreign diplomats, consular officers, and their employees and employees of a United Nations agency.Citizenship Act, 1977, s. 3(2).32 Bill C-37, "An Act to Amend the Citizenship Act," which came into force on 17 April 2009.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.905
Threshold uncertainty score0.678

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.029
GPT teacher head0.261
Teacher spread0.232 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2025
Admission routes1
Has abstractyes

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