Modelling dynamics of the ukrainian and canadian banking system’s assets influenced by financial crisis
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
Irrespective of the differences between Ukrainian and Canadian banking \nsystems the proposed model allows to forecast possible crisis of the assets dynamics \nby analyzing the rate of deviation of real data from the trend of the basic assets \ncomponent. \nThe proximity of real data dynamics to the dynamics of the basic assets \ncomponent for Canada witness the fact, that financial crisis in Canada was caused \nmainly by exogenous factors. \nAs for the Ukrainian banking system we can strongly suppose that the \n“depth” of Ukrainian financial crisis was mainly caused by endogenous factors: \nweak basic assets component and significant share of speculative and short-term \ncapital allowed to inflow Ukrainian banking system before crisis.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it