Bibliographic record
Abstract
Over the last ten years, many commentators have tried to explain the bloody conflicts that tore Yugoslavia apart. But in all these attempts to make sense of the wars and ethnic violence, one crucial factor has been overlooked-the fundamental roles played by exile groups and emigre communities in fanning the flames of nationalism and territorial ambition. Based in the United States, Canada, Europe, Australia and South America, some groups helped provide the ideologies, the leadership, the money, and in many cases, the military hardware that fueled the violent conflicts. Atypical were the dissenting voices who drew upon their experiences in western democracies to stem the tide of war. In spite of the diasporas' power and influence, their story has never before been told, partly because it is so difficult, even dangerous to unravel. Paul Hockenos, a Berlin-based American journalist and political analyst, has traveled through several continents and interviewed scores of key figures, many of whom had never previously talked about their activities. In Homeland Calling, Hockenos investigates the borderless international networks that diaspora organizations rely on to export political agendas back to their native homelands-agendas that at times blatantly undermined the foreign policy objectives of their adopted countries.Hockenos tells an extraordinary story, with elements of farce as well as tragedy, a story of single-minded obsession and double-dealing, of high aspirations and low cunning. The figures he profiles include individuals as disparate as a Canadian pizza baker and an Albanian urologist who played instrumental roles in the conflicts, as well as other men and women who rose boldly to the occasion when their homelands called out for help.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.014 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".