The Art of Academic Writing:Compares Academic Writing to Various Art Forms: Sculpting, Drawing, Painting, Making Music, and Acting
Bibliographic record
Abstract
Introduction<br/>Writing is an art form, but can the same be said of academic writing? Academics certainly share some traits with artists. In this video on why academia can still be a great career, Anne-Wil compared academics and artists in terms of careers. In this white paper, however, we argue that there may also be similarities between academics and artists in day-to-day work practices.<br/><br/>We provide five different perspectives on academic writing: writing as sculpting (by reduction or by augmentation), writing as drawing (sketching and landscape drawing), writing as painting, writing as playing a musical instrument, and writing as acting (both theatre and movie acting). We find that each analogy provides us with a useful lens on academic writing as a process and/or as a product.<br/><br/>Finally, we conclude that academics might be more content with their chosen careers if they were able to re-focus on academic writing as a form of artistic expression and academic passion rather than as a simple "box-ticking" exercise for their CV.
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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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.005 |
| 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 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".