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Record W126412071

Troubling Memories in Nation-building: World War II Memories and Germans' Inter-ethnic Encounters in Canada after 1945

2006· article· en· W126412071 on OpenAlexaboutno aff
Alexander Freund

Bibliographic record

VenueWinnSpace (University of Winnipeg) · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsGermanNazismImmigrationThe HolocaustEthnic groupMulticulturalismEmpireWorld War IINarrativeGender studiesRefugeeSilenceHistorySpanish Civil WarCollective memorySociologyPolitical scienceLawAncient historyLiteratureAestheticsArt
DOInot available

Abstract

fetched live from OpenAlex

For postwar Canadians, especially for those who had served in Europe or had lost relatives and friends in the war, as well as for European immigrants who had suffered under the Nazi terror, the great influx of German-speaking immigrants could pose a difficult personal confrontation with the past. This was also true for the German immigrants. The dominant national narrative, that the Allies had fought a good war against an evil empire, created a gulf between German Canadians and other Canadians and left little room for German immigrants to make sense of their wartime memories. German immigrants interpreted and responded to personal encounters and public representations of the war and the Holocaust in different ways. Some guarded their memories through silence in inter-ethnic relations or withdrew from such relations altogether, while others used such relations to learn more about the past. While multiculturalism helped bridge divides at the individual level, it did not integrate into the national historical memory the experiences of immigrants who had been former enemies.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.495
Threshold uncertainty score0.643

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.190
Teacher spread0.183 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2006
Admission routes1
Has abstractyes

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