Faces in the forest: First Nations art created on living trees
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In Faces in the Forest Michael Blackstock, a forester and an artist, takes us into the sacred forest, revealing the mysteries of carvings, paintings, and writings done on living trees by First Nations people. Blackstock details this rare art form through oral histories related by the Elders, blending spiritual and academic perspectives on Native art, cultural geography, and traditional ecological knowledge. Faces in the Forest begins with a review of First Nations cosmology and the historical references to tree art. Blackstock then takes us on a metaphorical journey along the remnants of trading and trapping trails to tree art sites in the Gitxsan, Nisga'a, Tlingit, Carrier, and Dene traditional territories, before concluding with reflections on the function and meaning of tree art, its role within First Nations cosmology, and the need for greater respect for all of our natural resources. This fascinating study of a haunting and little-known cultural phenomenon helps us to see our forests with new eyes.
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.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it