‘An atmosphere, an air, a life:’ Deleuze, elemental media, and more-than-human environmental subjectification and education
Bibliographic record
Abstract
Subjectification in environmental movement education comprises an influx of more-than-human ‘others,’ including the classical elements: air, water, earth, fire. In this conceptual article, I consider what environmental movement education research, which includes inquiring into processes of political subjectification, might entail, when thinking with the elements. As part of this focus, I identify and propose thinking alongside an ‘elemental Deleuze,’ by attuning to how the elements thread through Deleuze’s many works. Thinking with the elements alongside the field of elemental media studies, I turn to a series of examples from research conducted on subjectification and education in anti-oil pipeline movements in British Columbia, Canada, to suggest that the elements are productive media of atmospheres and affects that generate political ‘life.’ My objectives in this article are to articulate implications and ways of engaging with more-than-human forms of subjectification in environmental movements, and the implications for environmental education research.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.026 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".