Austria: Unstable Power in the First Quarter of 21st Century
Bibliographic record
Abstract
The articled explores the process of government formation in Austria in the first quarter of this century with the Austrian People’s Party (ÖVP) and the Social Democrats (SPÖ) as the main actors. The Greens and the Liberals from New Austria (NEOS) also played a certain role. The article provides an assessment of the coalition cooperation between the ÖVP and the FPÖ in 2000–2006, the SPÖ and the FPÖ in 2007–2016, and the FPÖ and the Greens in 2019–2024. The features of the current FPÖ-SPÖ-Liberals coalition (since March of 2025) are highlighted. The main factors that determined the mentioned temporarily cooperation and following collapse of their coalitions are demonstrated. The author argues that the instability of governments is related to the unwillingness of political elites to solve both intra-Austrian and pan-European problems. Among the latter: the scale of immigration influx, issues of energy security in the Old World, and financial and economic features of the early XXI century are particularly important.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".