The Gold Market and the Value of the U.S. Dollar
Bibliographic record
Abstract
The aim of this research is to determine to what extent the price of gold is suppressed, thereby revealing an internal structural problem within the global monetary system. Historical manipulation could only have been done by controlling the value of money under a fractional reserve gold standard through the physical demand for, and supply of gold, in relation to official reserves held at a central bank. More recently, the price of gold is largely influenced through paper trades, as a function of the operation of the gold market involving gold derivatives, in conjunction with physical trades and changes in official reserves. This research adopts a qualitative interpretation and numerical analysis to analyze the extent of market concentration and price manipulation. Our findings reveal that the gold market is largely deterministic rather than stochastic in nature. It also reveals that markets are not only subject to a fractional reserve banking system, but also a fractional reserve gold market, highlighting systemic instability inherent within the modern monetary system, and especially the value of the U.S. dollar and related dollar denominated assets.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".