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Record W3122317764 · doi:10.30827/acfs.v55i0.16705

Liberal Pluralism, Public Reason, and the Basic Freedoms

2021· article· en· W3122317764 on OpenAlexaff
Alan Brudner

Bibliographic record

VenueAnales de la Cátedra Francisco Suárez · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsRoyal Ontario MuseumUniversity of Toronto
Fundersnot available
KeywordsPluralism (philosophy)LiberalismPublic reasonClassical liberalismPolitical scienceLaw and economicsLawLiberal democracyConstitutional theorySociologyConstitutional lawEpistemologyPhilosophyDemocracyPolitics

Abstract

fetched live from OpenAlex

Taking religious freedom as illustrative, this essay proposes a theory of the basic freedoms that pacifies the conflict among libertarian, egalitarian, and communitarian sects of liberalism. This theory follows John Rawls’s suggestion that constitutional courts are exemplars of public reason but rejects his partisan construal of public reason in terms that only an egalitarian liberal would recognize. If, as Rawls argues, liberal pluralism is reasonable and if constitutional courts are guardians of public reason, then an ideal constitutional court will guide itself by the theory of the basic freedoms that reconciles liberal pluralism with the rule of public reason. Such a theory will integrate the plurality of liberal sects into an inclusive liberalism that preserves a distinctive role for each in defining and limiting constitutional rights, while refining them of the errors resulting from their hegemonic ambitions. Liberal pluralism is thus preserved, but liberal fragmentation is overcome. Public reason is sought not through an escape from pluralism but in a logical concord among the denominations of liberalism. The way for courts to execute this concord in constitutional cases is to follow the method of reasoning they have already largely adopted. That method is proportionality review.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.970
Threshold uncertainty score0.998

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 studies0.0010.004
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 head0.011
GPT teacher head0.272
Teacher spread0.261 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueAnales de la Cátedra Francisco SuárezSame topicAmerican Constitutional Law and PoliticsFrench-language works237,207