Krzesiny i Kreising – między pamiętaniem a pomijaniem. Polskie miasteczko wobec historii, pamięci i rywalizacji w cierpieniu
Bibliographic record
Abstract
The area around Krzesiny, located near the city of Poznań, Poland, witnessed several dark events during World War II: Germans oppressed the local population, culminating in a terrorizing action dubbed “akcja krzesińska;” also, a forced labor camp, named “Kreising,” was built near the township, housing mainly Jews. After the war, the suffering in Krzesiny was remembered, but selectively – “akcja” and other forms of Polish suffering were commemorated, while the camp was not. By exploring the “lieux de mémoire” in Krzesiny – dynamics of memory in a small township in Poland – this paper uses localized research to address the issue of gaps in collective memory and commemoration. We briefly look at the relevant history, Polish memory regarding wartime events in Krzesiny, and the postwar dynamics of collective memory. Discussing the latter, we identify a new phenomenon at work, one which we dub “collective disregard” – group neglect of the past of the “Other” that occurs without clear intent. We argue that “collective disregard” is an issue that naturally occurs in the dynamics of memory. By making a deliberate investment in balanced remembrance and commemoration, societies can counter the tendencies of “disregard” and curb the controversies of competitive victimization claims, also called “competitive martyrdom”.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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; both teacher heads agree on what is shown here.
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".