A critique and a proposal: A/r/tography and arts-based research as a methodology of intuition
Bibliographic record
Abstract
Abstract This article draws on Gilles Deleuze’s work with Bergson’s concepts to theorize a/r/tography as a methodology of intuition. Intuition in this work is understood as a particular form of knowing that is activated in a disruption to tacit perceptions in what Inna Semetsky refers to as ‘perception becoming’. To do so, this article explores a recent critique of the theoretical underpinnings of a/r/tography and the assertion that as a methodology, a/r/tography does not provoke an encounter with perception, with the virtual as ‘the unconscious Real’. This article develops this proposal through Deleuze’s work to examine this precise methodology of intuition as a way to examine the provocation of difference within the pragmatism of a/r/tography and arts-based research. It will also explore two a/r/tographical renderings: openings and reverberations to examine the actualization of creative thought in the real through intuition.
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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 | 0.046 | 0.055 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.145 |
| Scholarly communication | 0.013 | 0.019 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.011 | 0.016 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".