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Record W4255076522 · doi:10.1353/dsp.2015.0009

Between Two Wars: Generational Responses of Toronto Croats to Homeland Independence

2015· article· en· W4255076522 on OpenAlexaboutno aff
Daphne Winland

Bibliographic record

VenueDiaspora A Journal of Transnational Studies · 2015
Typearticle
Languageen
FieldHealth Professions
TopicRomani and Gypsy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHomelandDiasporaIndependence (probability theory)PoliticsIdeologyEmpireHistoryPolitical scienceSociologyPolitical economyAncient historyGender studiesLaw

Abstract

fetched live from OpenAlex

This article explores the impact of varied migration trajectories and settlement experiences on the ways in which diaspora Croats have engaged with the homeland and with each other. The pre-migration experiences of Croats over the past century, spanning imperial and fascist periods, socialism, the Yugoslav Wars of Succession, and independence, combined with the struggles and challenges of life in Canada, have all but defined the lives of diaspora Croats for generations. This is reflected not only in the particularities of different migration waves, opportunity structures, and other barometers of diaspora adaptation but in the effects of major upheavals and transformations in the “place of origin,” variously defined as empire, nation, republic, region, or <i>domovina</i> (homeland). Disparities among and between different generations of Croats are typically conceived of as political/ideological. This tendency, though driven largely by the tumultuous history of the former Yugoslavia, overlooks the complex dynamics underlying significant social, cultural, and other conflicts and contestations within diaspora Croat communities, many of which were on full display during the Homeland War, a time when the “thousand-year-old dream” of Croatian independence was to unite all Croats globally. The implications of the Croatian case for thinking about generation are found in the constant and, at times, fraught engagements of diaspora Croats with their homeland.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score0.516

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.219
GPT teacher head0.484
Teacher spread0.265 · 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 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

Citations3
Published2015
Admission routes1
Has abstractyes

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