Working at the crossroads of alternative currencies and degrowth: setting a research agenda
Bibliographic record
Abstract
Abstract In this review, we analyze the existing literature on the role of alternative currencies within degrowth. While degrowth emerged in the early 2000s alongside growing awareness of accelerating environmental crises and widening global inequalities, alternative currencies have a longer history. Alternative currencies have served as devices for communities seeking to become less dependent on the dominant economic system, but degrowth and technological advancements are potentially reshaping alternative currencies, both in what their purpose could be and in how they operate. When combined with degrowth, these currencies are often expected to foster greater resilience at the local level and slow down the pace of socio-ecological metabolism. Building on our review, we propose a research agenda that explores how policy proposals and concepts such as universal basic income, localization, and entropy can be understood in relation to alternative currencies. Our main contribution is to identify points of convergence and tension between alternative currencies and degrowth while proposing prospective research questions to guide future studies.
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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 | 0.009 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.009 |
| Scholarly communication | 0.007 | 0.017 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".