“I am Done with Toys!” — The Benefits, Joys and Risks of Creativity and Innovation in Graduate Writing Support
Bibliographic record
Abstract
Writing is a necessary part of the graduate student’s journey; it can also be a stressful and frustrating one that leaves students feeling “stuck” and disheartened. In this article we discuss four playful and alternative strategies that aim to free-up and inspire our graduate writers: our use of shape cards, LEGO®, walking tutorials, and yoga and meditation for writing. Through a combination of reflection on experience, initial primary research, and engagement with wider discussions, we demonstrate the benefits and joys of our creative and innovative writing support work. However, we also acknowledge that such techniques involve risks and challenges, and they certainly will not suit every graduate writer: as one of our students put it, “I am done with toys!” Nevertheless, as this article demonstrates, such practices have a real potential to support, empower, and deepen graduate student writing.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".