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Record W2886215284 · doi:10.34096/sys.n30.3038

Multilingüismo, actitudes y religión en la diáspora: los menonitas paraguayos de Manitoba

2016· article· es· W2886215284 on OpenAlexaboutno aff
Verónica Loureiro-Rodríguez

Bibliographic record

VenueRepositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires) · 2016
Typearticle
Languagees
FieldSocial Sciences
TopicGender Studies in Language
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Mennonites are a protestant Anabaptist group originated in Eastern Europe in the 16th century. Their first language is Plautdietsch (Mennonite German), although they use standard German for written communication and formal contexts. Persecuted because of their religious beliefs in Europe, and attracted by Canada’s offer of land, religious and cultural autonomy, around 7,000 Mennonites migrated to the province of Manitoba around 1870. However the progressive urbanization and acculturation threatened their isolated traditional lifestyle, causing them to migrate to remote areas in Latin America, where they slowly became in contact with Spanish and Portuguese. In 1947, the Canadian government facilitated the return of descendants of Canadian-born citizens, thus around 15,000 Mennonites returned to Canada. The present study examines the uses, attitudes and maintenance of Plautdietsch, High German and Spanish among fourteen Mennonite women who migrated from Paraguayan colonies, and currently reside in Winnipeg, the capital of Manitoba. Our results demonstrate that, despite being considered a key element of the Mennonite identity, Plautdietsch is not being transmitted to the Canadian-born generation. Also, religiousness and social networks are proven to be determinant factors in the transmission, use and attitudes towards the different linguistic varieties examined.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score0.675

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.286
Teacher spread0.277 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueRepositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires)Same topicGender Studies in LanguageFrench-language works237,207