The <i>corregidor</i> as dragon and the <i>encomendero</i> as lion
Bibliographic record
Abstract
Abstract With his Primer nueva coronica y buen gobierno Felipe Guaman Poma de Ayala (ca. 1535–post 1616), the best known Andean early-17th century author of indigenous descent, created a comprehensive and complex work about the indigenous past and the colonial present of his time. Colonial language data and information in an Amerindian language, interpreted from within the writer's framework as well as parting from Andean and European traditions, can be used to better understand the author's objectives for employing a certain text genre and language. This paper gives a sociolinguistic and ethno-historical analysis of Guaman Poma's work. Guaman Poma uses animal imagery of wild beasts in order to portray colonial society. Certain functionaries are likened to animals which threaten the indigenous people. The critical author presents these menaces in two sections of his work: in a critique of the administration which contains an illustration that links wild animals and functionaries directly and explicitly, and through prayers seeking protection from these same threats. Making use of symbolic language, textual and visual imagery, Guaman Poma associates uncivilized elements of nature with the barbaric behavior of the authorities. Nature and culture have always been closely linked in the Andes, and Guaman Poma makes extensive traditional and at the same time creative use of this connection. I argue that in doing so he creates a new colonial indigenous discourse and uses subversion in the repressive context of the time to call the attention of the reader to the social problems created by colonial rule, thereby making an innovative use of both his native language and Spanish traditions.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".