Correlation between school dropout and gross domestic product in the emerging countries of Central and Eastern Europe
Bibliographic record
Abstract
By school dropout is meant leaving the educational system, regardless of the reached level, before obtaining a qualification or a complete proffesional training or before the end of the study cycle started (Doron & Parot, 2006). Although there are numerous researches on school dropout, we consider that it is necessary to study the relationship it has with the level of development of a country, in order to identify new causes and possible solutions to this phenomenon. In this study we included seven emerging countries of Central and Eastern Europe: Bulgaria, Czech Republic, Poland, Romania, Slovakia, Slovenia and Hungary. Thus, we analyzed the correlation between the annual gross domestic product and the school dropout rates in the mentioned countries. The data were extracted from the European Commission’s Eurostat database and entered into the SPSS and then analyzed using the Forward prospective procedure. This research revealed the existence of significant negative correlation between the level of development of a country and the school dropout rate in the countries included in the analysis, in female, but also insignificant or weakly significant correlations between the mentioned variables in males.
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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 | 0.000 | 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".