Waking to T'imlax'aamit: Ground-truthing the Indigenous rainforests of British Columbia's North Coast.
Bibliographic record
Abstract
For many thousands of years, the rainforests of British Columbia's North Coast have been home to immense conifer trees, leafy shrubs, mosses, lichens, and the complex fungal communities that connect and support them. Guided by principles of balanced reciprocity, First Nations cultures have also thrived here for millennia, adapting these and other wild gifts into lesson systems of traditional ecological knowledge (TEK). Recently, the arrival of colonial industrialists, European settlers, and international migrants has disrupted the balanced flux of local ecological and economic activities. Considering injustices driven by Globalization, how can the Indigenous rainforests and their original residents teach newcomers to live respectfully and sustainably, and, how can Western thought accept holistic, long-term visions of home? Broadly interdisciplinary in scope, this poetry-prose-essay is a creative investigation of where critical questions lead through the Indigenous rainforest, uncovering true connections with a literary form that is a diverse and complex as its subject.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.010 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".