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Record W4207039795 · doi:10.17645/si.v10i1.4842

Community, Commons, Common Sense

2022· article· en· W4207039795 on OpenAlexaboutno aff
Thijs Lijster

Bibliographic record

VenueSocial Inclusion · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Theory and Political Philosophy
Canadian institutionsnot available
FundersVlaamse regeringNederlandse Organisatie voor Wetenschappelijk OnderzoekFonds Wetenschappelijk Onderzoek
KeywordsCommonsPraxisSociologyThe ImaginaryPoliticsCommon senseSense of communityPopulationEpistemologyPhilosophyLawPolitical scienceSocial sciencePsychology

Abstract

fetched live from OpenAlex

As De Angelis, Federici, and others have noted, there are “no commons without community.” The concept of community, however (as, among others, Jean‐Luc Nancy and Roberto Esposito have shown), has a dark history continuing up until today, when extreme right‐wing or even downright fascist appropriations of the concept have understood it as a static and identitarian unity bound to a specific territory or ethnicity. While commons‐scholars try to circumvent this legacy by emphasizing the commons as a “praxis” (Dardot and Laval) or “organizational principle” (De Angelis), they thereby tend to neglect the important cultural and symbolic connotations of the concept of community (which, in part, seem to make right‐wing movements appealing for certain segments of the population). In my article, I want to raise the following question: Do we need a sense of community for a politics of the commons, and, if so, what concept of community should it be? To answer this question, I will refer back to the use of the concept of “common sense” (sensus communis) in Immanuel Kant’s Critique of Judgment. Characteristic of Kant’s use of the term is that it does not refer to an actually existing community, but rather to an imaginary community that is anticipated in our (aesthetic) judgment. Common sense, in other words, involves “acting as if”—with the dual dimensions of acting (i.e., the community is based in praxis) and as if (an imagined, anticipated community bordering between the fictional and the real).

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)0.004
metaresearch head score (Gemma)0.006
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 score0.009
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.004
Science and technology studies0.0080.058
Scholarly communication0.0090.015
Open science0.0010.008
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.392
Teacher spread0.328 · 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

Citations7
Published2022
Admission routes1
Has abstractyes

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