‘At the Very Beginning, There’s This Dream.’ The Role of Utopia in the Workings of Local and Cryptocurrencies
Bibliographic record
Abstract
Since the 2008 financial crisis, the number of alternative currencies aiming at transforming global financial institutions, such as local and complementary currencies (LCC) and cryptocurrencies, has exploded. Yet the motivations and workings of such monies are relatively unknown. This chapter aims to fill this gap by providing a framework that uncovers the ideals pursued by alternative currencies, and the effects of those ideals on the production of money. To do so, I present a comparative analysis of the valuation infrastructure – the processes through which value(s) is produced – of one LCC, Sol Violette, and three cryptocurrencies, Bitcoin, Ğ1 “June” and impak Coin. Throughout, I elaborate on the social meaning of money and the role played by alternative currencies in contemporary capitalism. I show that 1) despite targeting the same financial institutions, the utopia pursued by alternative currencies varies significantly and 2) this utopia is at least as important as the technology (e.g. blockchain) in shaping the workings of these monies. Based on these findings, I outline implications for the social studies of financial technologies and their effects on our societies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.039 |
| Scholarly communication | 0.011 | 0.023 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".