Fostering the National Interest: Utilizing Hungarian State Property in the Jiu Valley to Build a Modern Coal Industry
Bibliographic record
Abstract
Abstract After the 1867 Ausgleich, the Kingdom of Hungary sought to foster coal extraction to fuel the growing needs of transport and industrialization. In developing the rich deposits of the Jiu Valley in Transylvania, the state did not wait for private, profit-driven development. Instead, the ministries in Budapest both developed state-operated mines in the region and supported private companies’ efforts, shifting the relative importance of each over the following four decades as the situation required. The ministries worked with private corporations to design model “company towns” and provided consistent support for their upkeep—demonstrating the extensive nature of state influence at the local level. The Jiu coal mines as a case study reflect that the Hungarian state saw property not simply in economic terms but as part of a wider framework of the modernization of the country, including its society. Royal Hungary’s property regime was one that provided legal recognition of the right to private property, but at the same time one in which the state frequently intervened to ensure economic development that served its perceived interests.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".