Amazon Journeys and Poetic Re-Discoveries in Jan Conn’s 'Jaguar Rain' and Malu de Martino’s 'Margaret Mee e a Flor da Lua'
Bibliographic record
Abstract
The year 2023 marks the thirty-fifth anniversary of botanical artist Margaret Mee’s final expedition to the Amazon. On this trip, she was at last able to paint the rare night-flowering of Selenicereus wittii, commonly known as the Amazon moonflower. Such an accomplishment was not only significant due to the rare nature of the event, but also because it was the final piece created by an artist who renewed the practice of botanical painting. Originally from Britain, Mee lived in Brazil for more than thirty years, embarking on fifteen expeditions to the Amazon region between 1956 and 1988, painting while travelling in dugout canoes deep in the forest and becoming a fervent activist for the protection of the environment. Her work has influenced many artists, e cologists, and biologists, and has served as inspiration for literary and filmic creations. In 2006, Canadian poet Jan Conn published Jaguar Rain: The Margaret Mee Poems, in which she poetically recreates Mee’s journeys to the Amazon. As both a scientist and a poet who has also extensively travelled in the region, Conn reimagines Mee’s wondrous encounters while situating them as part of a tradition of travel and exploration in South America. A few years later, in 2012, the documentary Margaret Mee e a Flor da Lua, directed by Brazilian filmmaker Malu de Martino, was premiered. In the film, Martino reconstructs Mee’s final journey to the Amazon in search of the moonflower while also reinstating the artist’s important contributions as an artist, environmentalist, and contemporary explorer. The connections between the biographical, poetic, artistic, and professional Mee are closely woven throughout the documentary, which can be seen as inserted in a new documentary tradition, less analytical and more poetic, in which notions of truth, history, and reality are problematised and rendered through different lenses. Bearing in mind that both Conn and Martino re-read Mee’s journeys through the tropes of exploration and discovery, which are commonly associated with imperial practices and colonial narratives of the New World, in this paper, we propose to discuss in which ways these tropes are brought into context and problematised, especially in relation to the depiction of Amazonian nature.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".