In it Together: Teachers, Researchers, and Classroom SLA
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
Abstract In discussions about relationships between research and pedagogy, teachers and researchers are often characterized as facing each other across a “gap” that separates them. Teachers are described as having practical concerns about their own classrooms and little patience for “theoretical” issues. Researchers are described as removed from day‐to‐day classroom concerns and oriented to more abstract factors that, if not “universal,” are at least “generalizable.” In reality, many researchers share with teachers the goal of making teaching and learning as successful as possible. What they learn from each other can help them reach that goal. In this article, we discuss 3 guiding principles that help to create the conditions for productive collaboration: (a) build trust and long‐term relationships, (b) build and share knowledge, and (c) follow up and provide feedback. We describe how the cycle of observation, correlation, and experimentation influenced our research and created opportunities to investigate questions that were of interest to us as researchers and relevant to teachers’ goals. We use examples of our own studies and those of other researchers who have engaged in long‐term teacher–researcher collaborations, illustrating how the research–pedagogy link can be strengthened.
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 | 0.008 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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