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Record W3187681725 · doi:10.4324/9780429059483-9

Sacrificial Liberalism

2019· book-chapter· en· W3187681725 on OpenAlexaff
Richard Mailey

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCritical Theory and Philosophy
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsLiberalismPolitical scienceLaw and economicsSociologyLawPolitics

Abstract

fetched live from OpenAlex

At a time when liberal democratic politics are apparently waning in the West, this chapter will offer a constructive critique of mainstream liberalism focusing on the doubly sacrificial character attributed to it by Carl Schmitt. As Schmitt presented it in his Weimar-era work, liberalism is sacrificial in two senses. Firstly, it is sacrificial in the same sense that all political theories are sacrificial, i.e. insofar as they involve selective legitimations of sacrifice. Secondly, and even more crucially, liberalism is sacrificial in the sense that liberal theorists often conceal or deny the sacrificial dynamics of liberalism, thereby sacrificing (or attempting to sacrifice) the right of opponents to contest the selective legitimations of sacrifice that they present. In support of Schmitt’s diagnosis, this chapter will provide a detailed reading of John Rawls’s Political Liberalism, one of the key texts of the modern liberal canon. At root, Rawls’s text is an attempt to provide a model of liberal politics that could plausibly appeal to all “reasonable” persons (liberal and non-liberal), and that can therefore be imposed on all persons non-coercively (since it is linked to their “common human reason” and not some alien, dictatorial will). By overemphasizing the reasonableness of political liberalism, Rawls glosses over its sacrificial and coercive dynamics. In light of this reading, and more broadly in light of Schmitt’s critique, the chapter suggests that liberalism needs to shift its priorities. What is valuable about liberalism—and what sets it apart from the anti-liberal populism now ripping through the West—is not its capacity to transcend a politics of sacrifice (it cannot), but its capacity for a certain reflexivity in its opposition to sacrifice.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.499
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0330.007

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 head0.050
GPT teacher head0.318
Teacher spread0.267 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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