The Routledge Handbook of Latin American Development
Bibliographic record
Abstract
The Routledge Handbook of Latin American Development seeks to engage with comprehensive, contemporary, and critical theoretical debates on Latin American development. The volume draws on contributions from across the humanities and social sciences and, unlike earlier volumes of this kind, explicitly highlights the disruptions to the field being brought by a range of anti-capitalist, decolonial, feminist, and ontological intellectual contributions. The chapters consider in depth the harms and suffering caused by various oppressive forces, as well as the creative and often revolutionary ways in which ordinary Latin Americans resist, fight back, and work to construct development defined broadly as the struggle for a better and more dignified life. The book covers many key themes including development policy and practice; neoliberalism and its aftermath; the role played by social movements in cities and rural areas; the politics of water, oil, and other environmental resources; indigenous and Afro-descendant rights; and the struggles for gender equality. With contributions from authors working in Latin America, the US and Canada, Europe, and New Zealand at a range of universities and other organizations, the handbook is an invaluable resource for students and teachers in development studies, Latin American studies, cultural studies, human geography, anthropology, sociology, political science, and economics, as well as for activists and development practitioners. -- Provided by publisher
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.072 | 0.030 |
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".