Thrown-up Stone? Facts and Trends in the XXIst Century
Bibliographic record
Abstract
Starting from the easily verifiable fact that times of peace are short and scattered inter-ludes in history books, i.e. mainly wars, revolu-tions and crises dominate, we could say that happy are the countries that do not have the kind of history outlined above. The crisis that erupted in the third quarter of 2007 and culmi-nated in the first quarter of 2009 provided an adequate basis in the global economy and thus for the European Union as well for accelerating the process of becoming ‘unhappy’. The dis-cussions related to the crisis and crisis manage-ment were contributed to, inter alia, by the Economic Policy Roundtable held on 15 April 2011. This event has traditionally been hosted by the Faculty of Economics and Business Administration of the University of Debrecen every spring since 2007. Speakers at this year’s conference – which was entitled Thrown-up stone? Facts and trends in the XXIst century –included István Benczes, Dóra Gyõrffy, László Muraközy, Júlia Király, Ádám Török and István György Tóth. The roundtable discussion at the end of the day was moderated by József Péter Martin.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".