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Record W7055190810

From autonomy to the common: interviews Christian Laval and Pierre Dardot

2023· article· es· W7055190810 on OpenAlexaboutno aff

Bibliographic record

Venuee-rph (University of Granada) · 2023
Typearticle
Languagees
FieldPhysics and Astronomy
TopicAdvanced Frequency and Time Standards
Canadian institutionsnot available
Fundersnot available
KeywordsAutonomyPerspective (graphical)Qualitative researchAgency (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

This interview by Amador Femández-Savater to Christian Laval and Pierre Dardot addresses the theoretical-political proposal of these two authors about the publication ofhis work Commun: Essai sur la révolution au XXIe siècle, edited in Castilian by Gedisa in the year 2015 (Common: essay on the revolution in the Twenty-First Century). This conversation to three, dips in the validity of the proposals of the genuine collective Socialism or Barbarism of which they took part next to Comelius Castoriadis, paying particular attention to the support of practica! models in the pretension of the group to surpass the purely theoretical development in spaces restricted to the intellectual world. Castoriadis own thinking, especially his conception of the relations between culture and politics, the analysis of the bureaucratization of the social world in capitalism, institutions and the revolution, tied to the modem democratic project. In this context, the Common proposal emerges far a radical democracy capable of facing the neoliberal offensive.

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)0.011
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.073
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0270.031
Scholarly communication0.0110.009
Open science0.0020.009
Research integrity0.0080.011
Insufficient payload (model declined to judge)0.0050.001

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 head0.012
GPT teacher head0.229
Teacher spread0.218 · 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 designNot applicable
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

Citations0
Published2023
Admission routes1
Has abstractyes

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