Bibliographic record
Abstract
Humankind continues to face the two problems that have existed since the degeneration of the 1917 October Revolution that began in the mid-1920s. While it is experiencing enormous suffering caused by capitalism, there is also a crisis of anti-capitalist leadership. These two problems now cohabit with growing radicalization among sections of the working population and the youth, following the 2007 economic crisis; burgeoning threat of fascistic tendencies both within the state apparatuses and among the masses; and reformism among middle-class Marxist intellectuals (as well as among workers). In this global conjuncture, there is a need to return to the root of the Marxist agenda. This is the classical tradition, which includes the ideas of Marx and Engels and goes beyond their ideas. In this article, I offer an outline of that tradition.
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 | 0.024 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.070 |
| Scholarly communication | 0.019 | 0.020 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.006 | 0.018 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".