Bibliographic record
Abstract
So, finally jobs are back: during the first quarter of 2015 there has been an increase in the number of employed and a corresponding reduction in the amount of unemployed people. The balance between hirings and dismissals for structured employment relations (open-ended, temporary, staff leasing and apprenticeship contracts) is also positive and higher than in the first quarter of 2014. Besides, this value is the highest registered since 2009. The improvement observed is due to the increase in the movements of the labour market: the total volume of hirings has grown, overtaking that of dismissals. The reactivation of the job market can also be ascribed to the measures settled by the Stability Law, allowing recruitments with open-ended contracts on a contribution-free basis. However, this new scheme is not sufficient to counterbalance what has been left behind in recent years. By and large, it seems that a definite trend reversal of the occupational cycle requires additional improvements of the macroeconomic framework and, most of all, a consolidation of the positive growth dynamics detected in the first three months of the current year.
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 | 0.010 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".