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Record W7008732952

Contribution to the study of Volkische Ideologie and Deutschtumsarbeit among the Germans in Canada during the inter-war period

2017· dissertation· en· W7008732952 on OpenAlexfundaboutno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2017
Typedissertation
Languageen
FieldArts and Humanities
TopicGerman Colonialism and Identity Studies
Canadian institutionsnot available
FundersU.S. Naval AcademyYork UniversityLakehead University
KeywordsEthnic groupGermanCultural assimilationPeriod (music)Context (archaeology)Element (criminal law)Scope (computer science)World War II
DOInot available

Abstract

fetched live from OpenAlex

Between World Wars I and II, the ethnic Germans in Canada strove to retain their
\nlanguage and culture. The impetus came on the heels of the Great War because lingering
\nanti-German sentiment and assimilationist policies threatened to destroy their culture and
\ntraditions. Canada?s ethnic Germans were not alone in such endeavours, as German
\ncommunities around the world also attempted to retain their identity. Within Germany,
\nthere flourished a movement designed to aid and foster the protection of German
\nethnicity around the globe. The movement encompassed private, semi-official and
\nofficial agencies. The scope of their activities touched upon every aspect of ethnic
\nretention and affected every country in which a sizable German element resided.
\nFunding, materials, and guidance flowed from Germany to the ethnic Germans abroad,
\ngreatly influencing the direction and content of their attempts to retain their heritage, and
\nthis included the ethnic Germans in Canada. This thesis will give perspective to
\nDeutschtumsarbeit in Canada by placing it within the context of the global movement
\norchestrated from Germany.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.021
GPT teacher head0.231
Teacher spread0.210 · 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.

Study designObservational
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

Citations0
Published2017
Admission routes2
Has abstractyes

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