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Justin Paulson and Rebecca Schein’s Response to “The Left After Politics”

2012· article· en· W1857965269 on OpenAlexvenueno aff
Justin Paulson, Rebecca Schein

Bibliographic record

VenueStudies in Political Economy · 2012
Typearticle
Languageen
FieldPsychology
TopicPsychoanalysis, Philosophy, and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsMediocrity principleNew LeftArgument (complex analysis)PremiseSociologyPrerogativePolitical economyLawPolitical scienceEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Thom Workman’s provocative intervention on how to revitalize the Left 1 makes an important contribution to this ongoing debate, not least for arguing explicitly for a strategy that socialists too often fail to consider a serious possibility. When an election campaign arrives, many on the Left feel the impulse to ignore it or to reject the vote, but the argument for doing so often relies on anarchist truisms and is rarely posed in such stark and coherent ways. Certainly we agree with Workman’s starting point: that most of us engaged in Left politics of any kind feel stuck in a never-ending Sisyphean task of pushing against an array of neoliberal boulders. We also wholeheartedly agree with the premise that the emergence of a Left culture is integral to the project of renewal. Yet we disagree entirely with the propo sition that a retreat from politics helps us to get there. Most fundamentally, Workman misidentifies the problem. He insists that the “civics reflex” is the proximate cause of a “politics of minimum salvage that assumes the wholesale sublimation of the instinct to rebel.” 2 We argue instead that such a politics is a function of neoliberal society and that a failed civic politics merely reflects that. The Left’s small size, low expectations, disorganization, and lack of sufficient interest in “afternoon public lectures and weekend retreats” 3 are hardly caused by a concern with electoral politics or the mediocrity of the NDP and Greens, but are a function of people working too much amid too much personal and financial insecu rity in an ideological climate hostile to critical thought. Even at the university, we see this in our own students: they are taking too many classes while working full time and, with a few admirable excep

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.833
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.063
GPT teacher head0.397
Teacher spread0.334 · 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 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

Citations1
Published2012
Admission routes1
Has abstractyes

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