Bibliographic record
Abstract
In this article, I foreground the role of relationality in Husserl’s later reflections on ethics and self-constitution, with a particular interest in Husserl’s account of sacrifice. I exposit how Husserl’s account of self-constitution and the conflict of absolute values between competing vocations offers a solution to Brentano’s rendering of the obligation to “choose the best among the ends attainable.” I explore the numerous instances in which Husserl uses the parent-child relation to illustrate the absolute value of our relation to an individual and how this absolute value triumphs over other seemingly rational maxims. Although problematic in several ways, Husserl’s account of motherhood grounds his notion of self-constitution in particular relations with others, rather than in a general category of nation or humanity. I conclude by considering how his emphasis on phenomenological constitution and his approach to value and sacrifice may inform future projects in phenomenological relational ethics.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.044 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".