Bibliographic record
Abstract
Bismarck would begin to relax the Kulturkampf laws in 1878, with Nietzsche prophesying the consignment of the Catholic Church to ‘the shadows of oblivion’. 1 In Human, All Too Human , two volumes of aphorisms published in 1878 and 1879 and dedicated to Voltaire, Nietzsche alters his philosophical orientation by writing as a rationalist promoting the ideals of the Enlightenment. This new Nietzsche is anti-nationalist and cosmopolitan, projecting a ‘universal world culture’ under the ‘guidance and guardi-anship’ of the ‘good Europeans’, whose task will be to ‘work actively on the merging of nations’ in order to produce ‘the strongest possible mixed European race’, including the Jews. 2 Human, All Too Human was written in 1876 ‘in the midst of the Bayreuther Festspiele ’, at a time when his friendship with Wagner was drawing to a dramatic conclusion due to the composer’s anti-Semitism, Christianity and commitment to German cultural national-ism. Moreover, Nietzsche no longer greeted Wagner’s programme of cultural renewal, with which he had allied himself in the early 1870s, with the same enthusiasm. The Bayreuth Festival had dispelled any hope for a revitalisation of the Dionysian spirit. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".