Yielding Actuality: Trust and Reason in Gillian Rose's Vision of Community
Bibliographic record
Abstract
Abstract This article explores the conviction that the durability of communities is contingent, at least in part, on the conception of reason in play. It proposes that prospects for building and sustaining community are enhanced to the degree that rationalistic theories of rationality are rejected. The resulting equivocation in the processes of rule‐making, moral thinking, analysis, and critique, while problematic, will be preferable to the alternative and caricatured approaches premised on a strong division between reason and its so‐called others. This desirable equivocation involves an analysis of the role of trust in human relations and a revised conception of reason developed by philosopher and social critic Gillian Rose (1947–1995). Through an analysis of Rose's commentary on the folk legend of Camelot and the phenomenology of friendship, this article tries to show how relations constrained by alterity can be transformed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".