“Through Pluripolarity to Socialism: A Manifesto” One Year On
Bibliographic record
Abstract
The International Manifesto Group launched its manifesto, “Through Pluripolarity to Socialism” on 5 September 2021. Then, the world’s attention was riveted to the US’s ignominious exit from Afghanistan. The following speeches, delivered at the webinar to mark the first anniversary of the event, reflect on the tumultuous events of the year since, dominated by the US-led war on Russia, using Ukraine as a proxy, its wider international reverberations which have underlined as well as accelerated the US’s decline and declining international influence and by the very real prospect that a similar US-led war is being planned against China using Taiwan region as a proxy. The speeches below find that, though the Manifesto’s text was finalised before anyone could have imagined such wars, its general line pointing to the decline of capitalism and imperialism and the imperative for humanity to progress through pluripolarity—a world of variety of national economic formations that will inevitably result as efforts to build productive and egalitarian societies are undertaken—to socialism as capitalism’s ability to deliver anything remotely similar is manifestly exhausted, has been vindicated.
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.013 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".