Spiders, Sartre and ‘magical geographies’: the emotional transformation of space
Bibliographic record
Abstract
Drawing on interviews with individuals suffering from arachnophobia, we suggest ways in which phenomenologically oriented aspects of Jean‐Paul Sartre’s (geographically neglected) work, particularly the concept of ‘magical’ thinking outlined in Sartre’s early Sketch for a theory of the emotions, might help both elucidate the spatiality of phobic lifeworlds and provide wider explanatory resources for understanding emotional geographies. If emotion evokes a world in which the relations of things to our awareness of them is, indeed, ‘magical’, then we may begin to explain the transformations of space recounted by phobics who are severely troubled by spiders' unpredictable movements within the geography of their homes. Sartre’s treatment of the phobic event as an event of worldly awareness, we argue, has critical implications for understanding how highly nuanced modes of attenuation, attraction, and repulsion compose the intimate geographies of our lives.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.018 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".