Creative Entanglements: Riffing with Posthuman Arts-Based Inquiry
Bibliographic record
Abstract
This paper investigates evolving practices in arts-based research through the lens of Posthuman Arts-Based Inquiry (PABI) and its principle of experimental recombinatoriality, referred to here as “riffology.” By questioning anthropocentric assumptions, PABI takes into account human and nonhuman forces alike, opening a more expansive approach to creativity and knowledge production. Drawing on DeleuzoGuattarian philosophy, new materialist perspectives, and post-qualitative research, we position art-making as an ontological event rather than mere representation. In doing so, PABI disrupts established boundaries within arts-based research, foregrounding shared agencies and ethical obligations that extend across human, technological, and ecological domains. Through concrete examples and theoretical grounding, this paper illustrates how PABI reimagines creative inquiry amid planetary crises, ultimately offering a posthuman critical pedagogy with the potential to transform both educational and societal landscapes. Keywords: Posthuman arts-based inquiry (PABI), posthuman critical pedagogy, DeleuzoGuattarian philosophy, experimental recombinatoriality, assemblage theory, arts-based research (ABR), ontological shifts, Anthropocene
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 | 0.025 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.127 |
| Scholarly communication | 0.011 | 0.019 |
| Open science | 0.002 | 0.018 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".