Inflation Analysis and Impact on the Business Environment in Romania
Bibliographic record
Abstract
This research deals with aspects related to the state of recession marked by the effects of inflation, thus analyzing how the business environment in Romania is affected, presenting statistical data from the period 2023 - 2024 regarding the number of suspended companies, in recession, but also the number of companies that were dissolved at the national level. Also presented, as results obtained from the research, are those areas of activity where significant fluctuations in the profitability rate were recorded, thus we can note the location of the effects in the field of trade, transport and storage, but also the regression that areas such as agriculture or the extractive industry recorded during the analyzed period. An analysis of the inflation index at the national level was also carried out, an analysis carried out for the period 2022 - 2025, including estimated aspects for the fourth quarter of 2025, but also an analysis of the inflation rate of the European Union states, an analysis that highlights the fact that Romania recorded the highest inflation rate at the end of 2024.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".