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The Moral Economy of Parallel Currencies

2006· article· en· W2102437691 on OpenAlexaff
Mark Peacock

Bibliographic record

VenueAmerican Journal of Economics and Sociology · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsYork University
Fundersnot available
KeywordsBarterOrder (exchange)EconomicsFunction (biology)Medium of exchangeCore (optical fiber)Negotiable instrumentEconomyMonetary economicsCurrencyMarket economyFinanceEngineering

Abstract

fetched live from OpenAlex

Abstract. This article offers a monetary analysis of Local Exchange Trading Systems (LETS) and examines both their moral and economic significance as well as the way in which these two aspects may conflict. After considering LETS' principles and history, I review three monetary theories in order to ascertain how one might best explore these phenomena. By drawing on the “Chartalist” tradition in monetary theory, I show (1) how strongly oriented LETS are to the formal market economy, from which, it is held, they detach themselves, and (2) that they do not effect a return to barter or an abolition of money, as is sometimes claimed. Both points become clear when one pays due attention to the primary function of money as money‐of‐account. In the final section, I consider LETS empirically and compare their structural potentials with their concrete form. LETS' members are motivated less by pecuniary gain than by the desire to build community and realize certain values. Participants have little motivation to expand LETS, which are therefore destined to remain small and ineffectual in offering an alternative to the unemployed and less well‐off. Indeed, were LETS to grow in size, the moral commitment required of members would come into conflict with the growing financial interests at stake.

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)0.002
metaresearch head score (Gemma)0.007
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 score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.011
Scholarly communication0.0050.007
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.018
GPT teacher head0.265
Teacher spread0.248 · 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

Citations21
Published2006
Admission routes1
Has abstractyes

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Same venueAmerican Journal of Economics and SociologySame topicPolitical Economy and MarxismFrench-language works237,207