Articulating Translanguaging as Pedagogy of Empowerment for Racialized, LanguageMinoritized Bilinguals: From Concepto to Proyecto through Digital Storytelling
Bibliographic record
Abstract
This article provides an overview of a digital storytelling proyecto final (final project) completed by 18 young bilingual Latinxs as part of a Spanish for “heritage/native” speakers course at a university in the U.S. Midwest. Specifically, the article charts out the move from concepto (concept) to proyecto, zooming in on key aspects of digital storytelling through a translanguaging lens, with an emphasis on how this pedagogy may serve the purpose of empowerment among language-minoritized, racialized multilinguals. This pedagogy opens the language curriculum to ways of meaning- and sense-making that support principal objectives and goals in heritage language education while promoting the handing over of decision-making to students in transformative and liberating ways. This perspective, while developed in the context of Spanish as a minoritized language in the United States, is applicable to other contexts where language teaching and learning meet sociopolitical pressures of minoritization, oppression, and the erasure of personal and collective histories. Cet article fournit un survol d’un récit numérique proyecto final (projet final) effectué par 18 jeunes latinxs bilingues dans le cadre d’un cours pour hispanophones « de souche » dans une université du Midwest américain. Plus précisément, l’article définit le passage du concepto (concept) au proyecto, en se concentrant sur les aspects clés du récit numérique par le biais d’une optique de translanguaging, avec une emphase sur la façon dont cette pédagogie peut servir à favoriser la valorisation chez les personnes multilingues racialisées en situation de minorité linguistique. Cette pédagogie ouvre le programme de langue à des façons de donner un sens et une signification soutenant les buts et objectifs principaux de l’enseignement de la langue patrimoniale tout en promouvant la passation de la prise de décision aux étudiants de manière transformative et libérante. Cette perspective, quoiqu’élaborée dans le contexte de l’espagnol comme langue minoritaire aux États-Unis, peut s’appliquer à d’autres contextes où l’enseignement et l’apprentissage de la langue rencontrent des pressions sociales de minorisation, d’oppression et d’effacement des histoires personnelles et collectives.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".