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Record W3154580929 · doi:10.18740/ss27317

Canada's National Questions, Free Trade and the Left

2021· article· en· W3154580929 on OpenAlexaffvenueabout
Paul Kellogg

Bibliographic record

VenueSocialist studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsAthabasca University
Fundersnot available
KeywordsFree tradeNationalismPoliticsInternational free trade agreementIndigenousFree trade agreementContext (archaeology)Political sciencePolitical economyEconomic nationalismInternational tradeEconomicsLawHistory

Abstract

fetched live from OpenAlex

It is now more than 30 years since the launch of the bilateral:anada-U.S. Free Trade Agreement (CUFTA), predecessor to the multilateral North American Free Trade Agreement (NAFTA) and the (now abandoned) Free Trade Area of the Americas (FTAA). For a generation, these "free trade" initiatives provided an important part of the framework in which political movements developed in Canada, engendering debates and controversies which continue to this day. When a new moment of trade politics emerged with Donald Trump's challenge to NAFTA, some veterans from those earlier anti-free trade battles were unable to see the new, white nationalist terrain upon which Trump was operating. This article - organized principally around the author's own engagement with the anti-free trade movements of the 1980s - suggests that this inability to see clearly the new context of anti-free trade politics was rooted in the incomplete and contradictory left-nationalist theory which underpinned most anti-free trade politics of that earlier era. The article suggests that while there are national questions in Canada - in particular those associated with Indigenous peoples and with Quebec - the attempt to articulate a parallel "national question" in Canada as a whole has proven to be impossible.

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)0.004
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: Commentary · Consensus signal: none
Teacher disagreement score0.896
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.325
Teacher spread0.294 · 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
GenreCommentary

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
Published2021
Admission routes3
Has abstractyes

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