Bibliographic record
Abstract
It almost appears paradoxical, but in these uncertain and anxiety‐ridden SARS‐CoV‐2 times concerns with the social have returned with a vengeance By social here I do not only mean the manifold forms of kindness, solidarity and community that have emerged on so many levels and scales, but also calls for a new kind of socialism, for alternative forms of economic distribution, production and justice To be fair, such calls did exist in queer, feminist and radical left communities before COVID‐19 made it palpably clear that economic practices exclusively steeped in practices of private entrepreneurship, fiscal austerity and supposedly self‐regulatory markets do not work in the interest of all Yet the ways in which in many parts of the world not only significant emergency response benefit packages are being offered to many, but some economic sectors have even come to a halt, have shown that an economic system many thought it was impossible to slow down In other words, the once unimaginable has become possible
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 | 0.012 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.060 |
| Scholarly communication | 0.024 | 0.048 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.008 | 0.017 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".