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“Grab the Signatures and Run”: Federal Unity Strategy in Canada from the Referendum to Patriation

2009· article· en· W2010074833 on OpenAlexaboutno aff
Neal Carter, Patrick James

Bibliographic record

VenueInternational Political Sociology · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsReferendumSociologyPoliticsLawMedia studiesPolitical science

Abstract

fetched live from OpenAlex

Whether as a traumatic event or great accomplishment, the legacy of the First Ministers’ Conference of 1981 lives on in Canadian politics. Constitutional negotiations among the prime minister and provincial premiers in 1981 produced the only “packaged” agreement since Confederation to achieve even the minimal support necessary to achieve ratification. The resulting Constitution Act of 1982, which included the Charter of Rights and Freedoms, remains in place and is the principal manifestation of intergovernmental bargaining from over two decades ago. This study reevaluates the strategic interaction and conflict processes that took place between Ottawa and the provinces in negotiations leading up to that fateful November 1981 conference. We apply the sociological framework for assessment of the dynamics of identity contention adopted from McAdam, Tarrow, and Tilly (2001) and find tentative support for its propositions. After an overview of the article's agenda, we present an analytic framework for the study of conflict processes. Second, the background to the constitutional crisis of 1980-81 is summarized. Using the analytic framework, the third section focuses on the federal strategy in the crisis as suggested by minutes from cabinet meetings, and the fourth section examines key events of the First Ministers Conference of November 1981. Fifth, and finally, the contributions of the preceding sections are summed up and ideas are put forward for further research.

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)0.001
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 score0.734
Threshold uncertainty score0.182

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.028
GPT teacher head0.315
Teacher spread0.287 · 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 designTheoretical or conceptual
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
Published2009
Admission routes1
Has abstractyes

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