The Evolution Of The Romanian Labour Market Between 2000-2016. A Statistical Review
Bibliographic record
Abstract
In this work I present and summarize the negative effects and manifestations of contemporary economic and financial crisis both on the national economy and on society. The reason why I chose this topic is to take a close look at the economic crisis (started in 2008 in the US) – and its financial effect on contemporary economy.This article presents recent statistics in Romania with regard to employment, including an analysis based on the dimensions of socio – economics: statistics evaluating employment show significant differences by gender, age and area. The purpose of this paper is to study and analyse the evolution of the Romanian labour market between 2000 and the first quarter of 2016 from statistical points of view based on the results of a comparison of the period before the crisis and after it. This paper emphasizes the correlation between real GDP growth and unemployment rate, as described by Okun’s law. The theoretical background of my scientific research methodology used to accomplish this work is based on macroeconomic principles and theories, such as recent statistical data taken from the official website of the National Institute of Statistics, the Romanian National Bank, Ministry of Labour and Eurostat. The economic crisis of 2008 has reinforced some existing imbalances on the Romanian labour market, requiring additional efforts to find solution for this problem. In the last 15 years the Romanian labour market has undergone profound changes. We can distinguish two stages regarding developments on the labour market in Romania after 2000. The first stage comprises the period 2000 – 2007, and is defined as a period of profound restructuring of the Romanian economy. The second period, from 2007 up to the present. is one that is characterized as a period of relatively high unemployment rate and efforts were directed primarily at limiting unemployment and its harmful effects on society. After 2005, employment development is moving towards a new crisis on the labour market, but its cause is not unemployment, but rather a decrease in demand on the labor market.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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".