Completing the vision : Søren Kierkegaard's pseudonymous texts and Attack upon Christendom
Bibliographic record
Abstract
Soren Kierkegaard's final Attack upon Christendom marks the common culmination of three of the most important themes evident in his earlier, pseudonymous books, namely the 'Leap', the 'Offence' and 'Indirect Communication.' Modern critical scholarship tends to take one of two approaches. Either Attack is dismissed as a deviation from Kierkegaard's previous writing, or Attack is read without sufficient regard for its dependence upon what has come before. Both approaches make an aberration out of the final work. This thesis proposes that reading Attack in light of its proper relation to the pseudonymous writings offers a more complete picture of the dialectical shape and development of Kierkegaard's thought. Employing Plato's analogy of the Cave in Republic as a hermeneutical tool, the thesis proposes an analogous 'ascent' in the pseudonyms out of the 'cave' of Christendom towards a vision of authentic Christianity. By the same analogy Kierkegaard completes the trajectory under his own name by a 'descent' from his vision back into the practical world of public engagement with his Attack. The thesis investigates the three key themes of Kierkegaard's oeuvre as they develop throughout the literature and are brought to fruition in Attack upon Christendom, and devotes a chapter each to the 'Leap', the 'Offence' and 'Indirect Communication'.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.031 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".