MétaCan
Menu
Back to cohort
Record W4395049364 · doi:10.3828/jrns.2024.4

Letters from Exile: Canadian Media, the Romanian Diaspora, and the Legionary Movement

2024· article· en· W4395049364 on OpenAlexaboutno aff
Bronwyn Cragg

Bibliographic record

VenueJournal of Romanian Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaRomanianMovement (music)HistoryArtSociologyGender studiesLinguisticsAestheticsPhilosophy

Abstract

fetched live from OpenAlex

This article traces the post-Second World War immigration of Romanians to Canada, and addresses themes of self-identification versus outside perception, national identity, and myth-making in the Romanian-Canadian community. It subsequently documents the scrutiny faced by the Romanian diaspora for supposed links to the interwar Romanian far-right Legionary Movement. Beginning in the 1950s, Romanian exiles in Canada forged their own community organizations, churches, and media, in which a unique synthesis of national identity and far-right politics was promoted, placing these new immigrants at the center of intracommunity and inter-ethnic conflict. Following the release of the Deschênes Report on war criminals living in Canada in 1986, as well as a series of unsolved terrorist attacks, Romanian-Canadians were subject to investigations by the mainstream Canadian media for potential involvement in far-right organizing. In the years since the collapse of state socialism in Eastern Europe, significant strands of the Romanian diaspora in Canada have continued to embrace historical figures of the Legionary Movement, synthesizing a diaspora identity flavored by anticommunism, radical right politics, and (ultra-) nationalism well into the post-communist period.

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.069
Threshold uncertainty score0.502

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0320.013
Scholarly communication0.0150.003
Open science0.0020.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.017
GPT teacher head0.246
Teacher spread0.228 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Romanian StudiesSame topicCanadian Identity and HistoryFrench-language works237,207