Bibliographic record
Abstract
espanolAunque en 2013 en su conjunto el PIB y el empleo de la economia espanola volvieron a registrar caidas significativas respecto al ano anterior, lo mas relevante fue que a lo largo del ano la recesion toco fondo. El PIB empezo a aumentar modestamente en el tercer trimestre y el empleo lo hizo en el cuarto. Puede darse, por tanto, por terminada la segunda recesion de esta larga crisis que empezara en 2007. Tras los ajustes, saneamientos y reformas llevados a cabo en estos duros anos, la economia ya esta en condiciones para echar a andar, aunque no para echar a correr. Y es que, aunque la recesion haya terminado, la crisis aun no esta vencida. EnglishWhile in 2013 the Spanish GDP and employment figures once again revealed significant drops with respect to the previous year, the most relevant factor throughout this period was that the recession finally appeared to have come to an end. The GDP began to rise somewhat modestly in the third quarter and employment followed suit in the fourth quarter. Spain has subsequently pulled out of the second recession of this long crisis that began back in 2007. After all the adjustments, purges and reforms carried out over these hard years, the economy is now in a position to move forward slowly, but not to pick up pace, as while the recession can now be said to be over, the crisis has not yet passed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.030 | 0.005 |
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 source (direct Gemma or distilled Codex), 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".