Narrating the Danube Swabian Identity and Experience from Women's Perspective
Bibliographic record
Abstract
This article uses selected memoirs by American women who came from the Danube Swabian minority in present-day Hungary and Serbia (former Yugoslavia). The entire ethnic group was expelled from the region at the end of World War II. All five memoirs were published in the new millennium. This article examines how the narratives frame memories of a prewar happy childhood from young women’s perspective. The childhood memories are presented in stark contrast to the authors’ postwar experiences of expulsion, sexual violence, genocide, flight, and the eventual building of a new life in a new country. All narratives document the brutality with which the Danube Swabian communities were destroyed, particularly in Yugoslavia. Nostalgic overtones about a lost homeland intersect with a lasting feeling of being atopos—i.e., “of no place,” in exile and in the diaspora. While most of the narratives emphasize Danube Swabian victimhood, one narrative stands out in its attempt to create a more multidirectional approach to memory about World War II. agathas@uottawa.ca
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.014 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".