Immigration – Socio-economical Implications. The Case of Romania
Bibliographic record
Abstract
The purpose of this study is to initially identify, at an exploratory level, an immigration model in Romania, with a special focus on economic immigration. It is well known that Romania, although source country, on our continent (Spain, Italy, Belgium, France etc.), as well as on the American (Canada, U.S.A) or the Australian one, with a negative migratory balance rate, after joining the European Union, it will become in the near future a destination country, especially for „economic immigrants”. The natural population deficit with which Romania is currently confronted, the labour market imbalances (the low level of participation of the current population in the productive process and the high number of Romanians working abroad) and the experience of older European Union members support the idea. As such, the analysis of social and economical risks that rising immigration will bring on the Romanian society is rather interesting and the applicative uses reside in identifying risk management solutions, in the context of formulating specific policies for immigration management.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".