Nietzsche and phenomenology : power, life, subjectivity
Bibliographic record
Abstract
Introduction Elodie Boublil and Christine Daigle Part I. Life and Intentionality 1. Husserl and Nietzsche Rudolf Boehm, Translation by Elodie Boublil and Christine Daigle 2. The Intentional Encounter with 'the Christine Daigle 3. On Nietzsche's Genealogy and Husserl's Genetic Phenomenology: The Case of Suffering Saulius Geniusas 4. Live Free or Battle: Subjectivity for Nietzsche and Husserl Kristen Brown Golden 5. Giants Battle Anew: Nihilism's Self-Overcoming in Europe and Asia (Nietzsche, Heidegger, Nishitani) Francoise Bonardel, Translated by Ron Ross Part II. Power and Expression 6. Fink, Reading Nietzsche: On Overcoming Metaphysics Francoise Dastur, Translated by Ron Ross 7. Nietzsche's Performative Phenomenology: Philology and Music Babette Babich 8. Of the Vision and the Riddle: From Nietzsche to Phenomenology Elodie Boublil 9. The Biology To Come? Encounter between Husserl, Nietzsche and Some Contemporaries Bettina Bergo 10. Originary Dehiscence: An Invitation to Explore the Resonances Between the Philosophies of Nietzsche and Merleau-Ponty Frank Chouraqui 11. Nietzsche and Merleau-Ponty: Art, Sacred Life, and Phenomenology of Flesh Galen A. Johnson Part III. Subjectivity in the World 12. The Philosophy of the Morning: Philosophy and Phenomenology in Nietzsche's Dawn Keith Ansell-Pearson 13. Appearance and Values: Nietzsche and an Ethics of Life Lawrence J. Hatab 14. The Object of Phenomenology Didier Franck, Translated by Bettina Bergo 15. Beyond Phenomenology Didier Franck, Translated by Bettina Bergo Contributors Index
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.022 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".