Writing the commons to support citizen struggles in South East Europe
Bibliographic record
Abstract
Tomislav Tomašević and the Institute for Political Ecology (IPE) of Zagreb undertook the first inventory of Commons initiatives on the territory of the former Yugoslavia, coupled with the formulation of a narrative arising from these different experiences. This work was published in 2018 as a book entitled Commons in South East Europe (SEE). The strengths of the book are to be found in the resolutely critical approach to the “classical” definitions of the commons inherited from, among others, Elinor Ostrom, and in the historical perspective providing valuable knowledge about the experiments of “social property” and other practices of the commons in socialist Yugoslavia. Tomislav Tomašević, representative of the municipalist citizen movement named “Zagreb is Ours !”, mobilizes the narrative produced by his research as a tool to legitimate the political struggle led by citizens in favor of the commons, ecological conservation and economic democracy. In this interview, Tomašević explains the dynamics between the “formulation” of the commons experiences in the region and the revival of political struggles supporting the re-appropriation of spaces, services and public policies.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.019 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.003 | 0.003 |
| 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".