The beast : riding the rails and dodging narcos on the migrant trail
Bibliographic record
Abstract
One day a few years ago, 300 migrants were kidnapped betweenthe remote desert towns of Altar, Mexico, and Sasabe, Arizona. A local priest got120 released, many with broken anklesand other marks of abuse, but the restvanished. Oscar Martinez, a youngwriter from El Salvador, was in Altarsoon after the abduction, and his accountof the migrant disappearances onlyone of the harrowing stories he garneredfrom two years spent traveling up anddown the migrant trail from CentralAmerica and across the US border. Morethan a quarter of a million CentralAmericans make this increasinglydangerous journey each year, and eachyear as many as 20,000 of them arekidnapped. Martinez writes in powerful, unforgettable prose about clinging tothe tops of freight trains; finding respite, work and hardship in shelters andbrothels; and riding shotgun with theborder patrol. Illustrated with stunningfull-color photographs, The Beast is thefirst book to shed light on the harsh newreality of the migrant trail in the age ofthe narcotraficantes.
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 | 0.001 | 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 | 0.005 | 0.002 |
| 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".