Bibliographic record
Abstract
The emergence of cloud banking in developing economies from billions of cell phones transacting both legal tender and informal units of accounts has created a need to reconsider habits of thinking about the nature of money and banking in advanced societies. The dysfunctional nature of modern money and banking is revealed by considering cell phone units of account based on four historical forms of money: (i) the current form of synthetic or “fiat” legal tender that can earn interest, (ii) fiat money that does not earn interest but has a usage fee, (iii) “free-money” issued privately with a usage fee, and (iv) “natural” money redeemable into specified goods and/or services with a usage fee. The value of a “green” form of natural money, redeemable into units of renewable electricity, becomes fixed by the investment cost of generators to create an inflation resistant unit of account. This paper identifies green dollars as offering a competitive medium of exchange for the “invisible hands” of (i) investors, (ii) Islamic economies and businesses, (iii) green voters, (iv) governments seeking to reduce the need for carbon taxing or trading, and (v) those seeking a reserve currency in case the financial system fails.
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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.007 | 0.011 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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".