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Record W2081542651 · doi:10.1093/applin/amr024

Ofelia Garcia: Bilingual Education in the 21st Century: A Global Perspective.

2011· article· en· W2081542651 on OpenAlexaff
John W. Schwieter

Bibliographic record

VenueApplied Linguistics · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsGarciaNeuroscience of multilingualismSociologyNorm (philosophy)Perspective (graphical)HumanitiesPolitical scienceLinguisticsComputer sciencePhilosophyLaw

Abstract

fetched live from OpenAlex

In a world where bilingualism is far more common than monolingualism, Ofelia García’s Bilingual Education in the 21st Century: A Global Perspective is the perfect demonstration of the need to widen the linguistic ideological lens used to interpret theories of bilingual education in order to fully embrace and reflect this reality. Even though it may be common knowledge to state that today’s world is becoming more multilingual and multicultural due to global socioeconomic, political, and technological developments, García’s book acknowledges this diversity and bilingualism as its norm and effectively shows the development of theories and practices of bilingual education as global and interrelated, yet complex and dynamic. Perhaps this development can be best represented by the beautiful banyan tree that graces the book’s cover: it is complex, constantly growing, and changing in various directions while stemming from sustainable and diverse social realities. At the very least, García takes the reader on a journey from the origins of the theories of bilingual education, to where the field stands today, and the heteroglossic path it should follow in the future.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0040.004
Open science0.0000.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.031
GPT teacher head0.273
Teacher spread0.242 · 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
GenreReview

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
Published2011
Admission routes1
Has abstractyes

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