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Record W3037811664 · doi:10.22215/etd/2020-14064

The Course and Canon of Left Nationalism in English Canada, 1968-1979

2020· dissertation· en· W3037811664 on OpenAlexaffabout
Michael Chiarello

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsCarleton University
Fundersnot available
KeywordsNationalismSocialismCapitalismMarxist philosophyNew LeftPoliticsDemocracyPolitical sciencePolitical economyEconomic historySociologyLawCommunismHistory

Abstract

fetched live from OpenAlex

This dissertation is an inquiry into the political and intellectual currents of English Canadian left nationalism from the late 1960s through the 1970s.It investigates the reasons why left nationalism emerged as a major force in English Canadian left politics and explores the evolution of a neo-Marxist critique of both Canadian capitalism and Canada's relationship with the United States.Left nationalism represented a distinctive perspective and political agenda.Its vision was of a Canada divorced from the American-led capitalist world system.English Canadian left nationalism had a political manifestation in the Waffle movement and an intellectual manifestation in the New Canadian Political Economy.The dissertation demonstrates that the left nationalist interpretation of Canadian-American relations was not rooted in anti-Americanism, but in a radical politics of democratic socialism and anti-imperialism.Left nationalism was primarily the product of neo-Marxist thought, rather than a reaction to problems in American politics, society, and foreign policy.English Canadian left nationalists were disruptors who, unlike their New Nationalist contemporaries, did not advance a program of capitalist or social democratic reform.The left nationalists were determined to replace capitalism with democratic socialism; without socialism, there could be no Canadian independence.Left nationalists sought to end Canada's colonial status in the declining American empire, viewed the preservation of Canada's resources as imperative to the country's long-term prosperity, and advanced neo-Marxism in the academy and in the universities.The dissertation Writing a dissertation is a long, complicated, at times frustrating, but ultimately rewarding experience.I spent over 7 years as a graduate student at the

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score0.949

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0240.010
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.005
GPT teacher head0.224
Teacher spread0.219 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2020
Admission routes2
Has abstractyes

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