Bibliographic record
Abstract
New Studies in Phenomenology andHermeneutics aims to open up new approaches to classical issues in phenomenology and hermeneutics.Thus its intentions are the following: to further the work of Edmund Husserl, Maurice Merleau-Ponty, and Martin Heidegger -as well as that of Paul Ricoeur, Hans-Georg Gadamer, and Emmanuel Levinas; to enhance phenomenological thinking today by means of insightful interpretations of texts in phenomenology as they inform current issues in philosophical study; to inquire into the role of interpretation in phenomenological thinking; to take seriously Husserl's term phenomenology as "a science which is intended to supply the basic instrument for a rigorously scientific philosophy and, in its consequent application, to make possible a methodical reform of all the sciences"; to take up Heidegger's claim that "what is own to phenomenology, as a philosophical 'direction,' does not rest in being real.Higher than reality stands possibility.Understanding phenomenology consists solely in grasping it as possibility"; to practice phenomenology as "underway," as "the praxis of the self-showing of the matter for thinking," as "entering into the movement of enactment-thinking."The commitment of this book series is also to provide English translations of significant works from other languages.In summary, New Studies in Phenomenology and Hermeneutics intends to provide a forum for a full and fresh thinking and rethinking of the way of phenomenology and interpretive phenomenology, that is, hermeneutics.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.851 | 0.705 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".