Language attitudes and the pursuit of social justice identity, prejudice, and education
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
"Language Attitudes and the Pursuit of Social Justice explores the relationship between language attitudes and forms of inequality and oppression, fostering greater awareness of how linguistic choices become political ones and encourages the search for practices that promote social justice. The volume is organized around different sections which look at language attitudes and their intersection with different dimensions of contemporary social and cultural life: language policy and planning; language and education; and the role of identity in forming strong communities that promote multilingualism and multiculturalism. Both established and emerging scholars explore the ways in which language attitudes are informed by extralinguistic factors and in particular, stereotypes, drawing on case studies through the lens of French, Italian and Spanish in Canada; interaction of migrant languages in Austria; national languages in West Africa and in Senegal; Signed languages in Spain; Spanish in Aruba, Uruguay, the U.S., and Catalonia and Majorca in Spain; and Quechua in Peru. The collection urges the development of critical linguistic awareness and a view of languages which recognizes their ability to continue to shift across time and space. This book will be of particular interest to scholars in sociolinguistics, multilingualism, language education, language policy and planning, and bilingual education"--
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it