Bibliographic record
Abstract
In certain respects, contemporary thought treats the politics of revenge with disdain while celebrating and employing a politics that is decidedly nostalgic. And yet, following Nietzsche’s work regarding the inherent vengefulness of nostalgic political programs, one is led to an impasse. This article attempts to make plain for politics what is at stake in Nietzsche’s account of revenge, and how political and social action might navigate the distance between revenge and nostalgia. The article brings the thought of Nietzsche and Heidegger together in a new way by asking whether and how Heidegger’s thought could suffer from a hidden vengefulness by adopting a nostalgic pose, one that haunts Nietzsche’s own drive for overcoming. Through an elucidation of the difference between nostalgia and revenge, the article gestures towards the nostalgic and vengeful possibilities that politics holds.
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 | 0.017 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.152 |
| Scholarly communication | 0.013 | 0.017 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.003 | 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".