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Record W7058381308

Now too much for us: German and Mennonite transnationalisms, 1874-1944

2015· dissertation· en· W7058381308 on OpenAlexaboutno aff

Bibliographic record

VenueIowa Research Online (University of Iowa) · 2015
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsGermanPersecutionRefugeeNazismNarrativeNegotiationPremiseNationalism
DOInot available

Abstract

fetched live from OpenAlex

This is a comparative analysis of two German-speaking Mennonite colonies. One group of 1,800 migrants voluntarily left Russia for Canada in the 1870s and departed Canada for Paraguay’s Gran Chaco in 1927 to preserve their communal autonomy. Another group of 2,000 Mennonites remained in Russia until 1929, when Stalinist persecution forced them to flee as individual refugees through Germany to the Gran Chaco. Here, the colonies negotiated their relationships with each other and crafted different responses to German Nazis and American Mennonites who desired global German or Mennonite unity.\nComparing the groups’ collective narratives—as voluntary migrants and refugees—reveals problems faced by individuals who do not fit into prescribed national or religious molds. This work engages global forces—such as nationalism and displacement—and universal conditions affecting mobile groups—including how they negotiate group identifications and perpetuate local cultures. It begins from the premise that group identifications are not immutable and objective but are tied to fluid, subjective narratives.\nThis framework shapes three arguments: 1) Faith-based diasporas are some of the most tenacious carriers of national cultural features—such as languages and folkways—but they often maintain these features for their own ethnoreligious purposes. 2) Governments and aid agencies benefit from the existence of migrants and refugees by advancing mythologies that are inclusive or exclusive of these populations. 3) Mobile faith-based communities use national and religious concepts to interpret new environments but they formulate their collective narratives differently—on a spectrum from faithful disciples to exiled victims.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.263

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.007
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.050
GPT teacher head0.382
Teacher spread0.331 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2015
Admission routes1
Has abstractyes

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