Bibliographic record
Abstract
Like most worthy intellectual endeavors, this project was born of naïve enthusiasm and extended far beyond any bounds we had previously imagined or expected.In an autumnal New Haven coffee shop, we discussed the limitations of extant writing on the revolutionary period, with which each of us had been contending in frustrated solitude.Buoyed by this conversation, and encouraged by the tide of protests against then-president Otto Pérez Molina, we realized that Guatemala and Guatemalanists were ready for a new reckoning with the meaning of the revolution.Even more, the time had come for a more diversified understanding of the so-called Ten Years' Spring.That there were actually many revolutions was patently clear, but what did this realization offer to scholars, scholarship, and the political community at the present juncture?For the next four years, we explored this question together, sharing coffees, walks, and countless Skype calls and emails.We drafted a list of scholars who might help us think through these questions, and thus our community of collaborators expanded.This volume is the result of an extended collaboration between the coeditors, the contributors, and many others who offered insights along the way.We would like to thank our respective institutions, Southern Connecticut State University, the University of Florida, and the University of Manitoba.
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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.241 | 0.184 |
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".