Languages and national identities in contact: the case of Latinos in Barcelona
Bibliographic record
Abstract
Mass migration is having a dramatic effect on established minority groups in territories/regions/countries within larger pluri-nation states, especially where linguistic normalization policies are protecting national minority languages. Catalonia is one such case. With language recognized as the symbol of many of Spain's historical and current identity crises (Mar-Molinero 1996), the recent mass migration of Spanish-speaking Latin American immigrants to Catalonia adds a new postcolonial twist to an already complex language-national identity dynamic. A spectrum of national identification that has been historically dominated by essentialist and dual Catalan/Spanish national identities is now opening up to new national identities: entrenched essentialist Latin American identities, appropriated identities and multiple/hybrid identities associated with third space (Bhabha 1994). This article presents data from a four-year ethnographic study of the languages and identities of Latinos in Barcelona. The data both confirm and problematize a range of theoretical perspectives on language, migration and national identity formation.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".