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
We empirically investigate the relationship between the return on collateral and monetary policy implementation in the channel system. Recent developments in monetary theory suggest that the return on government assets which measures the opportunity cost of holding collateral should have negative impacts on the interest‐rate spread and the interbank market rate. The central bank should set a higher spread when the return on collateral is below a cutoff but implements a lower spread when the return on collateral is higher than the cutoff. The interbank market rate tends to lie above the policy target rate when the return on collateral is low and vice versa. We use data from Eurozone area and six industrialized countries to test these theoretical implications. We propose two econometric models: one is more structural and closely related to the monetary model to test the negative relationships, and the other is based on the threshold autoregression model to detect the potential cutoffs. Our findings provide conditional support for the negative impact of return on collateral. ( JEL E40, E52, E58)
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 | 0.001 | 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 | 0.004 |
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 it