The Brazil of Marianne North: Memories of an English Traveler
Bibliographic record
Abstract
Starting from reflections about woman and femininity in the Victorian era, the explosion of literary market in the 19th century, and the access of women to education, literature, and journalism, this text introduces the work of Marianne North, English painter who used to travel aiming to paint the flora of other countries, particularly the exotic tropical flora. Marianne became one of the most famous globetrotter travelers of her time, visiting several countries such as Canada, USA, Jamaica, Brazil, Tenerife, Japan, Borneo, Java, Ceylon, Singapore, India, Wales, Australia, New Zealand, Tasmania, South Africa, Seychelles Islands, and Chile. In total, she left registers of about 272 genres (almost 1000 species) of plants, some of them little known by the experts. Hence, the text deals with the dual condition of Marianne North as a painter and author of reports about the visited countries. In Brazil, for instance, she lived between 1972 and 1873. Her professionalism and objectivity distinguish her from the other travelers of 19th century.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".