Bibliographic record
Abstract
If community is determined primarily in consciousness as a mental state of oneness, can community exist when there is no accompany‐ ing mental state or collective intentionality that makes us realise that we are one community? Walther would respond af irmatively, arguing that there is a deep psychological structure of habit that al‐ lows us to continue to experience ourselves as a community. The hab‐ it of community works on all levels of our person, including our bod‐ ies, psyches and spirits (Geist). It allows us to continue to be in com‐ munity even though we are not always conscious of it. Husserl would describe this as part of the passive synthesis of Vergemeinschaftung. Walther’s analysis of the passive structure of habit opens up im‐ portant possibilities for the inner consciousness of time. Drawing from Husserl’s and Walther’s analyses, I argue for the possibility of a communal inner time consciousness, or an inner awareness of time consciousness of the community, which gives rise to three constitutive moments: communal retention or communal memory, a sense of the communal present or a communal “now,” and communal protentions or anticipations. Ultimately, I will show how Walther’s treatment of habit demonstrates that time conditions the lived experience of community. One can, therefore, speak of a time of the community— its past, present and future—even though Walther herself does not explicitly develop this possibility.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.037 | 0.016 |
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".