Interpreting the concept of sedimentation in Husserl’s Origin of Geometry
Bibliographic record
Abstract
In the influential text Origin of Geometry, Edmund Husserl argues that even the invariant meaning found in theoretical disciplines like geometry has a historical becoming: through gradual abstraction and stabilization, ending in a completely rational discipline. This is a process which Husserl proposes is due to language and other symbolic systems. In the absence of a system allowing for stable communication of meaning, geometry or any other tradition would constantly have to begin anew. At the same time Husserl also sees the historical process of meaning stabilization in linguistic form as detrimental. It allows for a reception of an established meaning, which simultaneously entails the forgetfulness of the experiential basis and intuitive knowledge that made ideality possible in the first place. Husserl calls this Janus-faced dialectical process between discovery and forgetfulness sedimentation. This paper analyzes this concept in Origin of Geometry and places it in the context of Husserl’s thought more generally. In contrast to Husserl’s negative view of the effects that sedimentation has for an authentic meaning, I discuss four interpretations of sedimentation that provide more constructive perspectives on the concept. These interpretations also differ considerably from one another, a fact which speaks both to the richness and the tensions in Origin of Geometry. Author Biography Johan Blomberg has a PhD in General Linguistics from 2014, for the dissertation Motion in Language and Experience. He has since then worked in the Division for Cognitive Semiotics at Lund University, to which he continues to be affiliated. His main interests include motion semantics and the relations between language and thought, on which he has published extensively in journals like Cognitive Linguistics, Frontiers of Psychology and Language and Communication.
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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 | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.044 |
| Scholarly communication | 0.007 | 0.011 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".