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La communauté comme construction monétaire

2018· article· fr· W2776060571 on OpenAlexvenueno aff
Jérôme Blanc

Bibliographic record

VenueInterventions économiques · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Cet article examine les rapports entre monnaie et communauté et, en particulier, en quoi la construction de la communauté se nourrit de la monnaie. Pour élaborer le concept de communauté monétaire, il faut aller au-delà de la notion de communauté de paiement développée par Knapp et adaptée par les institutionnalistes français. On propose de penser la communauté monétaire à partir des finalités. La monnaie devient alors un projet ou un construit téléologique. On illustre ce raisonnement avec les monnaies associatives, qui poursuivent trois finalités : au-delà de finalités socio-économiques territoriales et de finalités monétaires, on met l'accent sur les finalités communautaires, par lesquelles la construction du projet monétaire est un moment de construction communautaire. Dans les monnaies locales associatives, une telle construction communautaire repose sur plusieurs formes de proximité qui engendrent la cohésion nécessaire à la communauté. Elle nécessite aussi la définition des règles d’intégration des professionnels, permettant d’établir une frontière entre la communauté et son extérieur.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.015
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.024
Scholarly communication0.0060.006
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.132
GPT teacher head0.392
Teacher spread0.260 · 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

Citations4
Published2018
Admission routes1
Has abstractyes

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