Supporting university staff to develop student writing: collaborative writing as a method of inquiry
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
There is a feeling in the Learning Development community – and in academia more generally – that discipline staff see the academic writing of students as a problem better ‘fixed’ by others. However, staff at a writing workshop held within a learning and teaching conference revealed positions that were more nuanced, inflected, compassionate and ‘responsible’ than this. Writing collaboratively around the words produced by staff at our workshop, led to new insights into ways that staff could support student writing as an emergent practice. We decided to collect and share the many ways that discipline staff might be encouraged to harness writing in their own curriculum spaces: a staff guide on supporting writing and other forms of learning and assessment emerged. In this paper we discuss collaborative writing as a method of inquiry as we explore the contested terrain of academic writing, challenge the notion of ‘writing skills’, and model a more emergent form of exploratory writing.
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 | 0.007 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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