Thinking space differently: Deleuze's Möbius topology for a theorisation of the encounter
Bibliographic record
Abstract
The relation between difference and space has long been and continues to be an animating problem in theoretical and political conversations across the discipline of geography, including in much recent work on encounter. In this paper, we make the case for the value of a less explored angle on space in Deleuze's work, which we call the topologies of space‐as‐difference. We highlight the Möbius strip as a central figure in his ontological system, and we show the significance of this topological structure both for understanding key Deleuzian concepts, such as the virtual and actual, and for understanding space and difference in productive ways. We demonstrate this by showing how Deleuzian topologies of difference enable us to further theorise the encounter – a key theme in recent geographical scholarship – as spatial and embodied, connecting up with material feminism and work on the skin, touch, and breath. We suggest that Deleuze's concept of space‐as‐difference thus contributes to the intensification of relational and topological approaches to space that are currently shaping the discipline.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.031 |
| Scholarly communication | 0.008 | 0.014 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| 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".