Bibliographic record
Abstract
Even to experts, Colombia is one of the most confusing countries in the Americas. Its democratic tradition is among the richest and most long-standing in the hemisphere, with only eleven years of military rule during its 200 some years of independence. Except for the United States and Canada, Colombia has had the highest growth rate in the Americas over the last 75 years. It is widely seen as having some of the continent's best universities and deep intellectual traditions along with a dazzling array of fine and industrial arts and now globally-popular tropical music. But despite these admirable achievements, Colombia has also experienced what its Nobel laureate Gabriel García Marquez once called “a biblical holocaust” of human savagery. Along with the scourge of politically-motivated assassinations (averaging 30 per day in the 1990s) have been drug-related massacres, widespread disappearances, rapes and kidnappings, and even the signature defilement of murder victims. The relentless dynamics of the illegal drug industry raises a puzzling question: how did Colombia capture and control that enormously-lucrative industry and then leverage its status as America's No. 1 drug supplier into a $7 billion military partnership with the world's superpower? The answer to that question is something everyone needs to know. To unravel the enigma, Richard D. Mahoney links historical legacies with key periods in the post-World War II era and then sets forth overarching cultural features--land violence, the Church, race, the Spanish language, and magical culture-that run through Colombia’s history, distinguish its national experience, and fuel its unquenchable creativity.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".