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Record W2559687765

NATURALIZING CANADA AS A “MODERN” NATION: CONCEPTS OF POLITICAL ASSOCIATION IN LATE-NINETEENTH CENTURY ENGLISH CANADA

2014· article· en· W2559687765 on OpenAlexfundaboutno aff
Peter Price

Bibliographic record

VenueQSpace (Queen's University Library) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicPhilippine History and Culture
Canadian institutionsnot available
FundersQueen's University
KeywordsPoliticsHistoryPolitical scienceEconomic historyPolitical economySocial scienceSociologyLaw
DOInot available

Abstract

fetched live from OpenAlex

The meaning and future of the new political jurisdiction created in 1867 called Canada were far from obvious or certain for those who witnessed Confederation and its first decades of development.This study looks at some of the ways in which the creation of a new Canadian state in 1867 influenced ways of thinking about the nature of political association and civic identity.Based on a thorough analysis of English-Canadian magazines published between 1867 and 1900, as well as major books and pamphlets written about the constitution in Canada, many by the same authors, it focuses on the English-Canadian intellectuals and public writers who tended to write most systemically about such issues.This study assesses changing ideas of political association in these sources through an analysis of the key political concepts of constitution, nationality, citizenship, and loyalty, each of which form the basis of separate chapters.It argues that ideas of "modern" political association developed by these concepts often led to concerted efforts to describe the Canadian state as a legitimate and natural container of civic affiliation.While many described these concepts as increasingly defined by the relationship between the individual and the territorial, constitutional state, they continued to be guided by assumptions about racial identity and lines of exclusion.This complexity is detailed in the final chapter, a case study of changes to naturalization law between 1867 and 1914 that saw many of the ideas examined in this dissertation take more concrete legal form.But of course, there is much more to say than what the words of these pages can convey.It is difficult to find a way to adequately acknowledge the mentorship and guidance of my supervisor, Jeffrey McNairn.Over the years, he has watched this project transform and take different shapes, and he challenged and motivated me at every step.I have been tremendously privileged to work with him and benefit from his intellect, thoughtfulness, and patience.The members of my committee provided me with useful feedback, critical insights, and encouragement.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.578

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 communication0.0000.001
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 head0.004
GPT teacher head0.185
Teacher spread0.181 · 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
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

Citations0
Published2014
Admission routes2
Has abstractyes

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