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Preparing a Prosperous Future: Promoting Culture and Business Through Bilingual Education

2004· article· en· W2086037167 on OpenAlexaboutno aff
Christine Wallgren Vance

Bibliographic record

VenueBilingual Research Journal · 2004
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistic Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsBilingual educationNeuroscience of multilingualismGovernment (linguistics)GermanSocioeconomic statusSociocultural evolutionEconomic growthSociologyPolitical scienceHeritage languagePedagogyPublic relationsGeographyPsychologyLinguisticsAnthropologyEconomics

Abstract

fetched live from OpenAlex

Abstract This paper describes an ambitious educational program uniting the efforts of Swiss, German, and French business associations, corporations, government agencies, and regional school boards in the Upper Rhine Valley, where economy and culture transcend national borders. The objectives of the program are to promote bilingualism, to teach the young people what factors unite and what factors differentiate their communities, and to optimize conditions for prosperous economic development based on knowledge of geographic, historical, sociocultural, and socioeconomic data. The focus of this paper is the program's textbook, Leben am Oberrhein/ Vivre dans le Rhin Supérieur [Living in the Upper Rhine Valley],1 created especially for the communities of the Upper Rhine Valley and the center of the program. The program is multifaceted and innovative. This paper concentrates on Europe (where the program originated) as well as the United States of America (home to the author and the majority of Bilingual Research Journal readers) and its neighboring countries (essentially Canada and Mexico). Yet the program can serve as an inspiring model throughout the world for community leaders and educators wishing to promote bilingualism within communities formed by native speakers of a dominant language and groups of various heritage language speakers and cultures, or in neighboring communities with different backgrounds and mother tongues.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.829
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.108
GPT teacher head0.423
Teacher spread0.315 · 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 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

Citations3
Published2004
Admission routes1
Has abstractyes

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