Ofelia Garcia: Bilingual Education in the 21st Century: A Global Perspective.
Bibliographic record
Abstract
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".