Presidential Address: A Rainbow of Spanish Illusions: Research Frontiers in Colonial Guatemala
Bibliographic record
Abstract
Abstract Compared still to what we know about Mexico and Peru, the historiography of colonial Guatemala, despite notable advances, continues to lag behind, registering minimally in the Latin American scholarly imagination. The field is surveyed by examining some of the issues that have intrigued the author over the course of his career. Personal reflections are offered of research activities that engage indigenous resistance to Spanish intrusion, demographic collapse in the wake of conquest, the link between disease outbreaks and Maya demise, and the role played by Pedro de Alvarado (1485–1541) in attaining imperial objectives. Scrutiny of the Lienzo de Quauhquechollan, a sixteenth-century source the contents of which have been incisively reappraised, affords fuller appreciation of strategic Indian involvement in the act of subjugation. Alvarado, a key protagonist in the conquest of Mexico, also harbored ambitions to muscle in on the conquest of Peru, a little-known episode that awaits further investigation. The conqueror’s own life, like Central America itself, may indeed have been a rainbow of Spanish illusions, pots of gold dreamed of, lost and found at native expense.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".