Bibliographic record
Abstract
‘Re-generative Habit: Dancing the mimetic faculty’ examines the role of habit in choreographic practice through a comparison with Walter Benjamin's concept of the 'mimetic faculty'. This article considers the intersection of habit, dance and language as being distinct yet interconnected expressions of an innate mimetic ability. Drawing on Benjamin's theories of the ‘mimetic faculty’ and ‘non-sensuous similarity’ from his philosophy of language, I examine how these concepts intersect in my choreographic practice, using my recent screendance project 'Mimeisthai' as a case study. This project presents a specific example of a 'performance-generating systems' approach to dance-making, inspired by Danish Canadian dance theorist Pil Hansen, and highlights the inherent tension between established habit and the desire for creative innovation. By emphasizing the relational, performative and dynamic aspects of habit within creative practice, this article challenges familiar views of habit as being simply automatic behaviour. Instead, habit is depicted as a flexible, versatile element that not only offers stability but also opens up possibilities for new forms of expression to emerge.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.025 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".