Individual and group identity in WWII commemorative sites
Bibliographic record
Abstract
Five sites commemorating large-scale mortuary events are compared in order to discover how individual and collective identities are created, maintained, and lost in memorials such as cemeteries and monuments. These five sites, the American Military Cemetery in Normandy, France; the National Memorial Cemetery of the Pacific in Honolulu, USA; Arlington National Cemetery in Arlington, USA; Auschwitz-Birkenau outside Oświęcim, Poland; and Treblinka outside Malkinia, Poland, are locations that memorialise thousands of people and are linked through their connection to the events of World War II. The creation of military and prisoner identities during the war is analysed and the factors affecting commemoration are identified. The sites are analysed according to their geographic location, headstone designs, organisation, and erected monuments. Four commonalities among these commemorative sites are identified: symbolic location, attention to symmetry, the heterogeneous nature of the dead being subsumed into the collective identity, and the dead being given an artificial equality.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".