Bibliographic record
Abstract
Abstract As Russia goes through the process of converting from a command to a market economy, many old business processes and standards had to be terminated and new methods implemented. Leasing is an example of a technique long in use in more developed economies that has been transplanted to Russia, with changes made to reflect the particular circumstances there. This paper examines the current state of leasing in Russia by concentrating on the experiences of one leasing company: Volgopromleasing. Interest rates and inflation rates that fluctuate widely and are sometimes extremely high, as well as a legislative environment that may be expected to change are some of the challenges faced by the firm. However, compensating opportunities exist: many Russian firms desperately need to update their equipment, the government is strongly interested in promoting rapid economic growth, and the legislation currently in effect favors leasing over other methods of acquiring fixed assets. Although leasing has the potential to assist Russian firms in modernizing and growing, and, therefore, to help the Russian economy in its effort to rapidly move to a new market economy, this can only occur in conjunction with other economic initiatives that also provide for growth and stabilization.
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How this classification was reachedexpand
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) | 0.000 | 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 | 0.000 |
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 teacher head, 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".