Bibliographic record
Abstract
"This is a fascinating local story with major implications for studies of nationalism and regional identities throughout Europe more generally." ---Dennis Sweeney, University of Alberta "James Bjork has produced a finely crafted, insightful, indeed, pathbreaking study of the interplay between religious and national identity in late nineteenth-century Central Europe." ---Anthony Steinhoff, University of Tennessee at Chattanooga Neither German nor Pole examines how the inhabitants of one of Europe's most densely populated industrial districts managed to defy clear-cut national categorization, even in the heyday of nationalizing pressures at the turn of the twentieth century. As James E. Bjork argues, the "civic national" project of turning inhabitants of Upper Silesia into Germans and the "ethnic national" project of awakening them as Poles both enjoyed successes, but these often canceled one another out, exacerbating rather than eliminating doubts about people's national allegiances. In this deadlock, it was a different kind of identification---religion---that provided both the ideological framework and the social space for Upper Silesia to navigate between German and Polish orientations. A fine-grained, microhistorical study of how confessional politics and the daily rhythms of bilingual Roman Catholic religious practice subverted national identification, Neither German nor Pole moves beyond local history to address broad questions about the relationship between nationalism, religion, and modernity.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.023 | 0.010 |
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".