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Record W4417291585 · doi:10.1002/sea2.70024

The Coin's Third Side: Illiberal Money and the Sociality of a Community Currency

2025· article· en· W4417291585 on OpenAlexafffund
Daromir Rudnyckyj

Bibliographic record

VenueEconomic Anthropology · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversity of Victoria
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSocialityCurrencyContext (archaeology)State (computer science)Work (physics)Profit (economics)Financial transactionPsychological resilience

Abstract

fetched live from OpenAlex

ABSTRACT Classic work in the analysis of money has emphasized the role of the state and the market in giving money its value. This article seeks to build on work that has emphasized the coin's “third side,” in which society serves as a source of monetary value. In so doing, the article builds on the concept of illiberal economies by theorizing what is termed illiberal money . It does so through an analysis of the Comox Valley LETSystem, a community currency developed in British Columbia in the mid‐1980s and intended to promote community resilience in the context of global recession and a local depression. Local exchange trading systems (LETS) are networks that create a unit of account distinct from state money to facilitate the exchange of goods and services between community members. This article suggests that, in contrast to liberal markets, where the goal of exchange is the generation of profit measured in money, the goal of LETS is to strengthen the interdependence of community members on one another by creating credit and inviting others to participate in commercial exchange through what is termed expanding the “credit field.”

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.531
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.278
Teacher spread0.252 · 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 teacher head, not a consensus.

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

Citations0
Published2025
Admission routes2
Has abstractyes

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