From Phenomenological Self-Givenness to the Notion of Spiritual Freedom
Bibliographic record
Abstract
In my paper, I want to focus not only on the notions of givenness and evidence in Husserl’s phenomenology, but also on phenomenological work “after” Husserl. I will elaborate on how these phenomenological key ideas can methodologically be made fruitful, especially for an investigation into religious phenomena. After giving an outline of Husserl’s notions of (self-)givenness, evidence, and original intuition (I), I want to portray key elements of Steinbock’s discovery of a generative dimension in Husserl’s phenomenology and show how this approach correlates to the field of religious experiences (II). Subsequently, I want to focus on Steinbock’s book Phenomenology of Mysticism: The Verticality of Religious Experience (2007), and elucidate how for Steinbock different historical examples of mystical experiences can serve as leading clues for the revelation of the essential, eidetic structures of “vertical experiences”—or, phenomenologically speaking, the eidos of religious experience, which turns out to be “epiphany” (III). The expression “verticality,” as opposed to “horizontality,” denotes the existential and dynamic dimension of experiences which are oriented toward a new height (religiously or morally) “beyond” ourselves.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.078 |
| Scholarly communication | 0.007 | 0.017 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".