Social Psychology from Flat to Round: Intersubjectivity and Space in Peter Sloterdijk's <i>Bubbles</i>
Bibliographic record
Abstract
Abstract In this paper I describe the relevance of philosopher Peter Sloterdijk's (1998/2011) book Bubbles for social psychology. Bubbles offers the opportunity for the development of what I call a round social psychology. This is in contrast to the flatness characteristic of some of the more influential contemporary varieties of social psychology. Flat social psychology stays close to the ground, and is focused on the coordination of action. Round social psychology describes the atmosphere that surrounds and makes interaction possible in the first place. It requires a theory that links intersubjectivity with spatiality. To describe flat social psychology I analyze the assumptions of three contemporary versions of social psychology: social cognition theory, Goffman's dramaturgy, and Gergen's relational psychology. I then describe in greater detail Sloterdijk's bubble philosophy and the characteristics of round social psychology.
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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 | 0.002 | 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 | 0.032 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".