Cykl koniunkturalny w Turcji w latach 2005–2020 — interpretacja austriackiej szkoły ekonomii
Bibliographic record
Abstract
Turkey was hit by the recession, defined in a classic way (as negative real GDP growth lasting at least two quarters), three times over the discussed period. The main goal of the central bank of Turkey is to keep inflation as close as possible to the inflation target. The use of the interest rate as a tool to stabilize the economic situation is therefore limited. The country has experienced periods of high inflation which was not temporary, but long-term. Using the approach appropriate to the Austrian School of Economics, the article analyzes the behavior of the Turkish economy in 2005–2020. In the discussed time horizon, two phases of the business cycle have been identified according to the Austrian School of Economics — the first from 2005 to the first quarter of 2014, and the second from the second quarter of 2014 to 2020. It can be assumed that the Turkish economy will enter the third phase of the business cycle in the near future, although it is difficult to determine when it will happen.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".