10.5937/industrija42-6319 = Retraction: Impact of inflation on the macroeconomic indicators in transition economies (2012, vol. 40, no. 2, p. 19-34)
Bibliographic record
Abstract
At the initiative of the editors of journal Industrija and without an agreement of the authors, the article by Ranković M., Vasković V. and Simović V. is being retracted. Paper is being retracted because it plagiarises several papers including: · Li Min (2006), 'Inflation and Economic Growth: Threshold Effects and Transmission Mechanisms' Department of Economics, University of Alberta, 8-14, HM Tory Building, Edmonton, Alberta, Canada, T6G 2H4 · Nikola Tasic & Neven Valev (2008)'The Provision of Long-term Financing in the Transition Economies,' Working papers 14, National Bank of Serbia. · John Boyd & Bruce Champ, (2003) 'Inflation and financial market performance: what have we learned in the last ten years,' Working Paper 0317, Federal Reserve Bank of Cleveland. · Vikesh Gokal & Subrina Hanif (2004) 'Relationship between inflation and Economic growth' Working Paper 2004/04 December, Economics Department Reserve Bank of Fiji, Suva, Fiji Plagiarised text constitutes over 47% of the published paper. Editors have attempted to contact first and other authors on several occasions, but there was no response. Therefore the editors have decided to retract this paper without the agreement with the authors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.842 | 0.872 |
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".