Bibliographic record
Abstract
"The texts in this book do not compose a mere selection: the questions that guide the chapters form a cohesively and coherently structured totality which expresses the movement of construction of what the authors understand to be a new problematic in the education field in Brazil and in the world. The book addresses basic, professional and undergraduate education from perspectives that highlight different aspects of privatization, commercialization and commodification, as well as the presence of the business community in the definition of educational policies. These levels and modalities of teaching are analysed in articulation both with science, technology and so-called technological innovation policies and with the modus operandi of the state. “This is a book that should be read by teachers, administrators and all global citizens who have a stake in the future of the planet. Unlike many books by authors from the United States who attack poverty and economic inequality without critiquing capitalism, this book has the courage to challenge capitalism at its very roots. Capitalism connects us all and it will require all of us to dismantle capitalism and replace it with a socialist alternative. Commodifying Education reveals how education in Brazil is inextricably entangled in the logic and practice of economic fascism, which goes under many names, such as austerity capitalism and neoliberal capitalism. I urge educators everywhere to engage the lucid arguments presented in this important work.” – Peter McLaren, Distinguished Professor in Critical Studies, Chapman University, and author of Pedagogy of Insurrection".
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 | 0.001 | 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 | 0.004 | 0.010 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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".