Bibliographic record
Abstract
1. that is its literal location 2. God energizes the world 3. God experiences or »prehends« the world (process theology) 4. God ensouls the world 5. God plays with the world (Indic Vedantic traditions) 6. God »enfields« the world (J.Bracken) 7. God gives space to the world (J.Moltmann … zimzum tradition …) 8. God encompasses or contains the world (substantive or locative notion) 9. God binds up the world by giving the divine self to the world 1 Krause 1828: 256.Although Clayton 2010: 183 alleges that Friedrich Schelling prefigured Krause's 1829 [sic] coinage of the term »Panentheismus« with his use of the phrase »Pan+en+theismus« in his Essay on Freedom in 1809, that phrase (with or without the pluses) does not appear in the original German text, nor does »Pan+en+theism« (with or without the pluses) appear in any of the English translations; cf.Göcke 2013a: n. 5.A possible even earlier use by Krause awaits verification: in his foreword to Vorlesungen über das System der Philosophie, Krause tells us (pp.v-vi) that his System der Wissenschaft is unaltered (»unverändert dasselbe«) from his teaching lectures of 1803-04 in Jena and that his Entwurf des Systemes der Philosophie of 1804 bears witness thereto.For the first study of Krause's panentheism in English, see Göcke 2018.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.052 | 0.010 |
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".