Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Theories of justice rely on a variety of criteria to determine what social arrangements should be considered just. For most theories, the distribution of financial resources matters. However, they take the existence of money as a given and tend to ignore the way in which the creation of money impacts distributive justice. Those with access to collateral are favoured in the creation of credit or debt, which represents the main form of money today. Appealing to the idea that access to credit confers freedom, and that inequalities in this freedom are morally arbitrary, this article shows how the advantage to those with collateral plays out in different ways in today’s economy. The article identifies several forms of bias inherent in money creation, and its subsequent destruction: loans from commercial banks to individuals and corporations, interbank lending, lending from central banks to commercial banks, and selective bail-outs by central banks. These are not mere inequalities: they are unjust since alternative designs of the financial architecture exist that would significantly reduce them. The paper focuses on one possible reform with the potential to address several of the types of bias identified, namely the separation of money creation from private bank credit.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it