Ricardo Villaalba's Péron et Bolivie : types et costumes : an album of cartes de visite
Bibliographic record
Abstract
Despite the research done by many authors on the history of Andean people and their culture, and some research done on the history of Latin American photography, little is known about the Villaabla's Péron et Bolivie - Types et Costumes album. It is my contention that in order to understand how commercial photography altered and perpetuated an image of Andean people, it is necessary to understand the influences of the nineteenth century mindset and the business of photography. The album Péron et Bolivie - Types et Costumes, consists of two hundred cartes de visite ca. 1860 on Aymara and Quechua Indian types. The symbolic clues within the images, and nineteenth century cultural attitudes, as suggested by the handwritten text, imply that categorization of Villaalba's sitters as types of people that could be seen in Péru and Bolivia. My examination and analysis of the album aims to interpret the images through a variety of disciplines that include photography, anthropology, and sociology. By investigating the Péron et Bolivie - Types et Costumes album, I hope to contribute research about the album, create an awareness of its existence, and provide an examination of Villaabla's work that will help others investigate similar topics.
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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 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".