Bibliographic record
Abstract
Fiscal policy represents one of the most important components of economic policy and as such it should be treated in its context.For this there are at least two reasons:First, economic policy defines the goals and criteria of fiscal policy in order to assess its contribution to the implementation of economic policies, andSecond, defining the connection between the objectives and instruments, theory of economic policy explains the process of fulfilling the objectives of economic policy, part of which process is fiscal policy itself. Therefore, in the following, in a quite direct manner, we will address the interdependence between economic policy and fiscal policy.The word policy, in everyday life is used to clarify the principles on which various activities run, in order to realize the goals set by the designated authorities by determining the holders of those activities, their size as well as means by which those goals should be realized.In order to achieve prosperity and political stability, national governments aim at achieving economic equilibrium. Kosovo is one of the last countries in Europe to transition to a market economy. The transition process has begun from a very difficult starting point.During the years after the war, a symbolic economic growth occurred, which has been attributed mainly to remittances, investments in infrastructure and privatization. Investments, despite continuous growth, are considered insufficient to boost domestic production.This pattern of growth has not been able to meet the development needs of the state and failed to translate into a better standard of living for citizens, given that neither unemployment nor poverty are reduced. (The Progress Report on Kosovo, European Commission 2011).
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".