Bibliographic record
Abstract
Austria’s economy expanded by 0.8% in 2012, whereas the euro area slipped into recession again. Growth in Austria was driven both by domestic demand and net exports. While the economic outlook for the euro area remains clouded for 2013 as well, Austrian economic growth is likely to accelerate in the first half of 2013, as forecast by the OeNB. However, the continued weakness of order books and uncertainty surrounding the formation of a government in Italy as well as the latest developments in Cyprus represent potential hurdles for the recovery. HICP inflation decreased in January and February after a period of rising and stagnant inflation rates in the second half of 2012 and is expected to ease further in the course of the year. The economic sluggishness has had repercussions on the labor market – unemployment is on the rise. Austria’s Economy Contracts Only Marginally in Q4 2012 Despite Global Weakness The first full set of national accounts data for the fourth quarter of 2012 indicates that Austrian GDP shrank by just 0.1% against the third quarter (in real terms, seasonally and working-day adjusted). Thus, output contracted perceptibly less in Austria than in Austria’s main European trading partners (Germany: –0.6%; Italy: –0.9%). Whole-year growth for 2012 amounted to +0.8% in Austria (in real terms, both seasonally and not seasonally adjusted). Growth was fueled not only by net exports, but also by domestic demand. The negative contribution to growth of inventory changes corroborates the general picture of uncertainty among economic agents. Klaus Vondra1
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".