Bibliographic record
Abstract
Abstract Guatemala first came to the attention of the United States as a security threat after a middle-class revolution in 1944 overthrew a dictator who had long accommodated the United Fruit Company, the largest US foreign investment in the country. The new presidents, Juan José Arévalo (1944–1951) and Jacobo Arbenz (1951–1954), carried out a series of social reforms that upset the Guatemalan oligarchy and the Fruit Company. Arbenz’s Decree 900, which redistributed land from the wealthy to the poor, especially alarmed Washington because of the fear that nearby countries would adopt a similar program, thus endangering US foreign investments in the region. After the Dwight D. Eisenhower administration determined that Guatemala was becoming an intolerable communist threat, the US Central Intelligence Agency (CIA) began planning a covert operation to remove Arbenz. Operation PBSUCCESS was modeled on the covert action plan that was used successfully to depose the Iranian government in 1953. After bribing and threatening the Guatemalan military to cooperate, the CIA equipped and trained an exile army in Honduras that invaded Guatemala on June 17, 1954, and forced the resignation of Arbenz within ten days. The coup destabilized Guatemala, leading eventually to a brutal civil war that killed more than two hundred thousand Guatemalans.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".