Inconsistent Definitions of Money and Currency in Financial Legislation as a Threat to Innovation and Sustainability
Bibliographic record
Abstract
External shocks, like the climate catastrophe or the COVID-19 pandemic, as well as intrinsic fallacies like the securitization of bad debt leading up to the financial crisis in 2008, point to the need for updating our monetary and financial systems. Ensuring their adequacy and resilience is an important factor for sustainability at large. This paper examines the definitions of “money” and “currency” in financial legislation as a foundational factor in achieving systemic resilience by allowing or hampering monetary innovation and diversity. From the unencumbered vantage point that the practice of complementary currencies offers, definitions of the terms “money” and “currency” are here traced through the laws and regulations of the United States of America, from the beginnings of modern banking to the recent rulings on crypto-currencies. They are both found to be used and defined in contradictory ways that are inapt even in regard to conventional modern banking practices, let alone when applied to novelty in payment, issuance and valuation. Consequently, this paper argues that basic legal definitions need to be reviewed and consolidated to enable the innovation and diversification in monetary systems needed for long term macro-economic stability. With this in mind, a terminology that is consistent with monetary practice—current, past and future—as well as the procedural difficulties of reforming laws and regulations is proposed.
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 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 | 0.012 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.042 |
| Scholarly communication | 0.011 | 0.014 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".