Evoluția Conjuncturii Economiei Mondiale (The Evolution of World Economy Outlook)
Bibliographic record
Abstract
Romanian Abstract: In 2013, economia mondiala și-a continuat evoluția modesta din ultimii ani, situându-se cu peste 1 p.p. sub media perioadei 2000-2007 și cu 0,75 p.p. sub cea a ultimilor 15 ani dinaintea crizei financiare.Din grupul statelor dezvoltate cele mai rapide ritmuri de creștere s-au inregistrat in Statele Unite (2,2%), Canada (2,0%), Marea Britanie (1,7%) și Japonia (1,6%). Experții OCDE prognozeaza o imbunatațire moderata a creșterii economiei mondiale in urmatorii doi ani, marcata de evoluții divergente intre principalele economii ale lumii, insoțite de riscuri și vulnerabilitați semnificative.English Abstract: In 2013, the global economy has continued the modest growth of recent years, with 1 percentage point below the 2000-2007 period and about 0,75 percentage point below the average of the 15 years prior to financial crisis.Within advanced economies group, growth was stronger in the United States (2,2%), Canada (2,0%), the United Kingdom (1,7%) and Japan (1,6%). OECD Report forecasts a moderate improvement in global growth over the next two years, marked with divergence across the major economies and large risks and vulnerabilities.
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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 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".