Bibliographic record
Abstract
We live in a plant-dominated biosphere, and yet the relevance and meaning of vegetal life, beyond its contribution to human existence, is rarely considered. This way of thinking has led us to see nature as external to ourselves, as “other,” as that mysterious realm beyond the human sphere of being. As in visual culture, plant life possesses signifiers and coded meanings in its contextual configurations. Botanical literacy offers insight into environmental, sociocultural, and historical narratives of place, as the forests and herbaceous margins of our communities speak of complex past, a parallel history of survival and adaptation. Plants and textiles, the world over, tell complicated stories of colonization, migration, industrialization, and the evolving nature of local and global systems. This presentation will discuss these ideas through the lens of my MFA thesis work (Tinctorial Cartographies), which was created in the interest of developing a regional lexicon of color. The project houses one hundred and fifty hand-woven swatches (each comprised of five fibers and three mordanting variables), which were dyed with a selection in indigenous, naturalized, and invasive plants harvested over a twelve-month period from across the province of Nova Scotia. The work is in one sense an explanation of the terroir of color, of that which was extracted directly from the local landscape, and yet it also strives to consider the contextual meanings held within the plant life growing in the province and, by extrapolation, within Canada. In my practice, working with plants becomes a point of entry in considering the complex meaning held within botanical life forms. The acts of harvesting, extracting, and dyeing become a way of exploring the difficult histories that are etched into the vegetal and mineral layers of this land.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.035 | 0.003 |
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".