Bibliographic record
Abstract
This article treats in the first stage the terminological aspects concerning Migrations, analyzing under report the theoretical factors generator of migrations. The objective of this papers is to make an overall assessment of the various aspects of Romanian emigration. The emigration of Romanians by years, depending on the country of destination, from the development regions and depending on age groups. The main reasons that Romanians go abroad are for economic reasons, searching for a service with a salary higher than in the country of residence. The largest number of emigrants, was in 2007 once with accession of the Romania to the European Union and the preferences depending on the country of destination were Italy, Spain, Israel, Germany and the United Kingdom. At first who emigrated were engineers, technicians, doctors in the US, Canada and France, computer scientists, economists and teachers. Lately, we are witnessing a migration from the unqualified persons or the less qualified. According to a report on migration in the world 3.4 million Romanians are living in another country. External migration of the Romanians from perspective of development regions, confirm an emigration of the population of the areas where the share of persons of other nationalities is greater or where there is a lower level of economic development. International migration (voluntary or forced) became an important part of global existence. The number of women who left the country is higher than that of the men who chose to emigrate. Migration has effects both in the country of origin how and in the country of destination. Romanian migration is characterized as follows: migration especially of the young, capable and able to work. This leads to a crisis in the labor market, in the direction where there is pressure on employment is higher than Romanian workforce potential and capabilities. Changes in population age and gender groups, corroborated with decreased fertility rates lead to a process of continued demographic aging.
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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 | 0.002 | 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".