Bibliographic record
Abstract
The main assumption of this volume is that there is a need to search for new economic systems because neoliberal capitalism is in a deep crisis.This observation is related not only to the recent global financial crisis that started in 2007/2008, but also to the negative impact of capitalism on sustainable development, its technocratic/top-down 'catch-up modernization project' applied to countries of the Global South, and the limited interest of capitalists in social responsibility.Thus, after describing the limits of capitalism, Vishwas Satgar argues that policy makers, activists, and scholars should focus on the development of grassroots solutions and real possibilities that are already emerging and being disseminated around the globe.Satgar argues that the solidarity economy should be a counter-hegemonic political economy and an economic, cultural, and political praxis that fosters the liberation of all people through ethical and sustainable means.Beyond the introduction, the book includes 10 contributed chapters divided into three sections.The chapters are written by practitioners as well as theoreticians who work in fields such as sociology, political science, legal issues, philosophy, international relations, and community studies, and are from South Africa, the United States, Brazil, Italy, and the UK.Despite this diversity of views, thanks to the excellent editorial work and long discussions behind the book (which began in 2011 with a conference organized by the Co-operative and Policy Alternative Center in Johannesburg, South Africa), all chapters share a common and coherent perspective on the solidarity economy.The first section is focused on a description of theoretical perspectives on the solidarity economy that have been so far scattered in publications in economics, sociology, philosophy, and political science.Thus, this section is significant as it tries to organize basic concepts, identify opportunities and limitations of the solidarity economy, and learn from the experiences of countries that in recent years have supported the social economy, such as Italy, the UK, Spain, and Canada.Michelle Williams ('The solidarity economy and social transformation') focuses her analysis on contrasting solidarity economy and social economy.Williams shows
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.006 | 0.057 |
| Scholarly communication | 0.022 | 0.020 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.008 | 0.011 |
| Insufficient payload (model declined to judge) | 0.006 | 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".