From language to translanguaging in qualitative research: Exploring methodological and pedagogical possibilities
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
In this paper, we explore the monolingual assumptions enacted in qualitative methodological practice, which often render multilingual linguistic phenomena invisible or frame them as barriers to valid research. We discuss the conceptualization of language in qualitative methodological literature and explore how a theoretical lens of translanguaging might inform us in methodological practices. In particular, we address this question from three aspects: (1) channeling the critique of named languages into the ontological consideration (ways of being and becoming) in qualitative research; (2) making methodological decisions informed by multilingual and, specifically, translanguaging awareness; and (3) breaking down linguistic boundary-keeping and embracing critical and reflexive multilingual practice. By drawing on examples from our empirical research and methodological instruction, we demonstrate that researchers across disciplinary and inter/transdisciplinary fields—including but not limited to migration studies, bilingual education, comparative research, public health, and anthropology—can benefit from such a critical methodological orientation.
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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 | 0.062 | 0.050 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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