Drawing New Relationalities with Migrants and Immobile Exiles
Bibliographic record
Abstract
In this paper, we explore how drawing can be used as transformative educational practice in the context of climate change shifting our relationships with the living world. As a starting point, we share our understanding that we are entering times where the relationships with living systems around us are no longer stable and predictable (Morizot, 2023). Some people experience this instability through forced exile and migrant journeys. Others do not travel but become immobile exiles (Morizot, 2023). This context has invited us to start a co-inquiry into relationality through the practice of drawing. We ground this exploration in four examples from our respective work in the fields of systems change, education of the arts and participatory arts-based research. Each of the examples illustrates how small groups of people - both children and adults - can develop awareness of changing relationalities between humans, other living beings and vibrant matter (Bennett, 2010). In the workshops we have facilitated, the images themselves come alive as quasi-organisms (Simondon, 2022). With a phenomenological gaze, we reflect on their capacity to support the becoming visible of micropolitical agencies with the potential to reconfigure systems towards decisive mutations of plurality (Glissant, 1996).
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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 | 0.012 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.044 |
| Scholarly communication | 0.011 | 0.014 |
| Open science | 0.003 | 0.020 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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".