Bibliographic record
Abstract
The first World Social Forum (WSF) was convened in 2001 in Porto Alegre, Brazil, to facilitate convergence on a world scale between civil society organizations coming together to oppose a renewed extension of capitalism and domination of neoliberal politics and ideologies in the post‐Cold War context. Symbolically and strategically, its yearly meeting in January would coincide with those held in Davos, Switzerland, by the World Economic Forum, attended by the economic and political global elite. During its first six years, the WSF and its numerous offshoots achieved a resounding global success. But, starting with its seventh edition in Nairobi and the subsequent financial crisis of 2007–2008, attendance and periodicity have suffered. Causes are numerous and explanations abound, ranging from exhaustion, to competition coming from other quarters, to the discordant roles of nongovernmental organizations and civil society organizations in the global south, and to the relevance of the notion of global civil society itself. Nevertheless, today the WSF is still going strong albeit on a more modest scale.
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 | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.466 | 0.192 |
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".