Researcher Identity, Narrative Inquiry, and Language Teaching Research
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
Whereas there has been much research on language and identity with respect to learners, teachers, and teacher educators, there has been little focus on the identity of the researcher, an important stakeholder in language education. Our research therefore addresses the following question: To what extent can narrative inquiry illuminate the ways in which researcher identity is negotiated in language teaching research? To address this question, we draw on a digital literacy study in multilingual Uganda to narrate how we engaged in our own storytelling, and the process by which we invited teachers to share their experiences of teaching through the medium of English as an additional language in a poorly resourced rural school. Central themes were our attempts to reduce power differentials between researchers and teachers, and our desire to increase teacher investment (Norton, 2000) in our collaborative research project. Drawing on numerous small stories (Bamberg, 2004; Georgakopoulou, 2006), we argue that several researcher identities were realized, including international guest, collaborative team member, teacher, and teacher educator. Our article supports the case that small stories enrich traditional narrative inquiry, both theoretically and methodologically, and make visible the complex ways in which researcher identity impacts research, not only in language teaching, but in education more broadly.
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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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