Bibliographic record
Abstract
As the editors note in their introduction to this special issue of the journal, for more than 500 years, indeed since the conquest, Latin-American economies and societies have been profoundly affected by developments in the world system. Over the past century alone, watershed moments such as the Great Depression of the 1930s and the oil shocks and international debt crisis of the 1970s and 80s, have rocked Latin-American economies, transforming development paradigms and with them the circumstances of the many millions who inhabit the region. Today, a quarter century has passed since Latin-American economies embarked, unevenly yet largely irreversibly, on the path of market-oriented reform. Designed to stimulate growth through insertion into global markets, structural adjustment programs swept Latin America in the wake of the debt crisis and were followed by a panoply of measures that sought an enduring restructuring of economies in the region. The pursuit of these so-called Washington Consensus policies did away with the inward-oriented strategies that had shaped development in the region throughout the postwar period. However reluctantly, Latin America staked its future on a renewed engagement with the world economy, and became a player in the highly contested processes of globalization that are reshaping societies and economies around much of the planet.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.006 | 0.019 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 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".