Bibliographic record
Abstract
‘Yellow glacier lily, Erythronium grandiflorum’ is a poem from a long sequence called ‘Seeds’ that thinks about forms of resistance, survival, and emergence in the context of climate change and the sixth mass extinction. Each numbered section or ‘seed’ centres on a different organism or human-made object: lentil, snowdrop, chinook salmon, ‘the beautiful cell,’ codex, lenticel, wasp, honey bee, tiny house, among others. Each ‘seed’ in this long poem might be thought of as a blueprint, whether simple human-made tool/concept or complex organism driven by its DNA to adapt to and respond to the current existential threat. The poem also considers the idea of attention as a moral act, as observed by the neuroscientist Iain McGilchrist: ‘without alertness, we are as if asleep, unresponsive to the world around us; without vigilance, we cannot become aware of anything we do not already know.’ It attempts to focus attention as a form of respect for the yellow glacier lily, the human, the grizzly bear, as interacting agents in the subalpine region of Cascadia, all as beings in their own right, withdrawn, dark noumena.
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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 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".