“Teacher, ¿Puedo Hablar en Español?” A Reflection on Plurilingualism and Translanguaging Practices in EFL
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
This article uses a classroom experience to exemplify ways in which students as social beings learn English as a foreign language in Colombia and how the teacher uses trans[cultura]linguación. This is a process of making meaning during English-learning tasks while comparing specific linguistic variations as students learn about both their own culture and other people’s cultures. Borrowing from plurilingualism and translanguaging, I describe how a teacher attempts to use a social-justice approach to teaching English by valuing her students’ linguistic and cultural repertoires. I conclude by outlining the implications this has for proposing a paradigm shift from monolithic frameworks of learning language(s) to more dynamic ones in which students’ cultural and linguistic backgrounds are deployed as a platform for addressing issues that are relevant to their communities.
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 | 0.003 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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