Approaching Nonhuman Ontologies: Trees, Communication, and Qualitative Inquiry
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
Consideration of trees has historically been confined to disciplinary, quantitative perspectives embedded in botany, earth sciences, resource management, environmental sustainability, and sustainable development wherein trees are largely viewed as senseless, bio-mechanical matter to be controlled and used for human consumption and economic gain. In this article, I reflect selectively on methodologies and methods I used in a broader, interdisciplinary project to study the sentient, intelligent relationality of trees as agentic, conscious, innovative entities embedded in unique, community-based lifeways. My research framework integrated Indigenous research methodologies, public ethnography, ontological emergence theory, plant science, philosophies of plant and nonhuman knowing, interspecies communication, and filmmaking. Herein, I focus on how perspectives and approaches based on qualitative, ethnographic inquiry and Indigenous epistemologies support and broaden research, (re)presentation, and engagement with trees and other nonhumans. Methods I discuss include the practices of cultivating tree/human communication and fostering human sensitivity and embodied knowing.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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