Bibliographic record
Abstract
In an era of climate change, extractivist economies, and forced mobility, who and what belongs? Throughout her prolific career, Brazilian artist Maria Thereza Alves has focused precisely on this question. Perhaps her most iconic, generative, and expansive work is Seeds of Change, a twenty-year investigation into the hidden history of ballast flora—displaced plant seeds found in the soil used to balance shipping vessels during the colonial period. The project examines the influx and significance of imported plants, materializing at port cities across several continents: Marseille, Reposaari, Liverpool, Exeter and Topsham, Dunkerque, Bristol, Antwerp, and most recently New York, where it was awarded the Jane Lombard Prize for Art and Social Justice by the Vera List Center for Art and Politics at The New School. In each city, Seeds of Change has revealed the entangled relationship between “alien” plant species and the colonial maritime trade of goods and enslaved peoples, contrasting their seemingly innocuous beauty with the violent history associated with their arrival. By focusing on ballast flora, Alves invites us to de-border postcolonial historical narratives and consider a “borderless history.” The first monograph of Alves’s historic project, Seeds of Change is edited by Carin Kuoni and Wilma Lukatsch and features essays by the artist as well as Katayoun Chamany, Seth Denizen, Jean Fisher, Yrjö Haila, Richard William Hill, Heli M. Jutila, J. Kēhaulani Kauanui, Lara Khaldi, Tomaž Mastnak, Marisa Prefer, and Radhika Subramaniam.
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 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.112 | 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 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".