Bibliographic record
Abstract
Animating this book is a twofold question: In what ways are adult and popular educators responding to various harsh economic, political, cultural and environmental conditions? In doing so, are they planting seeds of hope for and imaginings of alternative futures which can connect individuals and communities locally and globally to achieve economic, ecological and social justice? The book illustrates how transformative politics of solidarity often involve actors across vastly different backgrounds. Solidarity is therefore a political relationship that is forged through particular struggles situated in place and time across power differentials. The authors put popular education to work by describing and analysing their strategies and approaches. They do so using accessible language and engaging styles. Popular education is a medium for dreaming, for imagining other futures. It is also essential for countering the wilful spreading of fake news and propagation of ignorance. Pedagogies of solidarity are necessary to building connections amongst people at a time when competitive individualism and alienation are rampant. Forging solidarity with and amongst communities is a means towards that end, and, indeed, an end in itself. “Corporate mines and agribusiness poison the water we drink, the air we breathe and the food we eat. Together with their political proxies they destroy the earth and her peoples – too many are killed because of their military, economic, religious and information wars. How do we stand up for ourselves and the earth that nourishes us against this global system? Forging Solidarity shares inspiring stories that feed our deep connection and power.” – Pregs Govender: Author of Love and Courage: A Story of Insubordination “Forging Solidarity is a critical and timely collective intervention that ponders, prods, pokes, and plays in the most generative ways. In so doing, it invites us to continue deepening our engagements with questions of responsibility and justice in relation to education everywhere.” – Richa Nagar, author of Muddying the Waters: Co-authoring Feminisms across Scholarship and Activism “This book inspires people to realize that not fighting against socio-economic injustices is to side with oppressors.” – Ntombi Nyathi, Programme Director of Training for Transformation.
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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.050 |
| Scholarly communication | 0.017 | 0.021 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.011 | 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".