Re-storied by Beauty: On Self-Understanding in the Ricoeur-Carr Discussions on Narrative
Bibliographic record
Abstract
This essay examines the issue of self-understanding, following Paul Ricoeur who characterizes it as one of the three dimensions of a literary work. The essay places the issue in the context of Ricoeur’s discussions with David Carr on self-understanding or selfhood identity, demonstrating where the two theorists differ, but ultimately proposing how they complement each other to enrich the issue. I argue that the two converge at a significant point – that selfhood-identity is mediated by a host of cultural artifacts, all experienced as narrative. I support this thesis by exploring the way in which the transcultural symbol of sharing a meal can mediate self-understanding, and occasion the narrative re-storying of a life. Attending to the character of General Loewenhielm in Isak Dinesen’s (1993) Babette’s Feast, I describe the feast as an event of beauty, arguing how this worked to restore a sense of unity to the General’s life.Keywords: Self-understanding, identity, narrative, Paul Ricoeur, David Carr, beauty, Babette's feast
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.018 | 0.058 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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".