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Record W2468132335 · doi:10.4000/caliban.1849

Le pluralisme politique de l’Ouest canadien

2007· article· en· W2468132335 on OpenAlexaboutno aff
Florence Cartigny

Bibliographic record

VenueAnglophonia Caliban/Sigma · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsRegionalism (politics)IdeologyPoliticsPolitical scienceGreat DepressionPolitical economyAsidePower (physics)Economic historyLawSociologyHistoryDemocracy

Abstract

fetched live from OpenAlex

Regionalism has played a tremendous part in defining Canadian identity in a federation still divided along regional lines. Since the 1870s, Western Canada has often felt left aside from the politically powerful provinces of Ontario and Quebec: this federal lack of interest goes hand in hand with unfair representative power both in the Senate and in the House of Commons.As a result, this politically and economically divergent region has created several political parties. For example, the CCF originated in Western Canada in the 1930s with strong socialist leanings. During the Great Depression, William Aberhart founded the Social Credit which had a long-term influence in Alberta. As for the Reform Party, whose only leader was Preston Manning, it remained a federal party whose original aim was to promote Western issues in Ottawa. Finally, separatist parties came into being with the involvement of Douglas Christie at the head of the Western Block Party.Undoubtedly, Westerners have shown how dynamic involved they could be to see their diversity represented provincially and federally. And yet, political heterogeneity is not always reflected: indeed, it seems that Western Canada is heading from a two-party system to a one-party system where political organizations have different labels or names rather than deep ideological divergences

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.845
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.235
Teacher spread0.228 · 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.

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
Published2007
Admission routes1
Has abstractyes

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