Bibliographic record
Abstract
Duoethnography is an emerging research methodology and tool for reflective practice in English language teaching (ELT). Duoethnography allows for people to become the sites of their own inquiry and investigate issues and phenomena of importance to them (Sawyer Norris, 2013). In duoethnography, participants engage in critical dialogue with one another as a way to challenge broader normative assumptions but also as a way to bring meaning to experiences and find solutions to immediate teaching issues. In this duoethnography, we examine the phenomenon of silence through our shared experiences as English language teachers and applied linguists but also from our diverging perspectives, cultures, and backgrounds. Data were gathered from online conversations, reflective notes, and memos between the two authors with emerging themes including 1) Shifting perspectives on silence, 2) Silence in the online classroom, and 3) Turn-taking and student/teacher discourse expectations. While specific to the authors, it is hoped that this duoethnography may resonate with readers and serve as a catalyst for further reflection on silence.
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 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 | 0.001 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".