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Record W4410996198 · doi:10.1177/07255136251344958

Culture and social order: Three critical remarks on Jeffrey Alexander's cultural sociology

2025· article· en· W4410996198 on OpenAlexaff
Mario Marotta

Bibliographic record

VenueThesis Eleven · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsSociologyOrder (exchange)Social orderSociology of cultureCritical theoryEpistemologySocial scienceAnthropologyPhilosophyPoliticsPolitical scienceLaw

Abstract

fetched live from OpenAlex

Jeffrey Alexander's revaluation of the role of culture in the study of society is grounded on the Durkheimian theory that a society can only be built on the shared acceptance of a symbolic system that guarantees social order. To explain how this shared acceptance is produced, Alexander proposes the concept of the civil sphere, defined as an “analytically independent” and “empirically differentiated” sphere of society devoted to the production and elaboration of shared symbolic patterns. In this text I put forward three main critiques of this theory: first, Alexander does not succeed in analytically separating the civil sphere from other spheres of society; second, he postulates and does not demonstrate the unitary nature of the civil sphere; third, he does not clearly explain how consensus is formed in the context of the civil sphere and, more importantly, how an established consensus may be observed as such.

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)0.009
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.034
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0120.072
Scholarly communication0.0080.010
Open science0.0020.008
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.338
Teacher spread0.315 · 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 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
Published2025
Admission routes1
Has abstractyes

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