Salish Perspectives on Human–Plant Relationships: Embracing Authenticity and Complexity
Bibliographic record
Abstract
This paper explores the intricate relationship between humans and plants from the perspective of Salish concepts, shedding light on the tradition of attributing human-desired qualities to the botanical world. Although plants possess traits that appeal to human desires, it is essential to recognize their inherent distinction from humans. Through historical utilization by Salish communities, a spiritual reciprocal bond has been established, necessitating the adherence to human-like protocols to maintain a symbiotic relationship. However, this exploration advocates against romanticizing this relationship, as it has the potential to foster internal stereotyping while leading to external discrepancies in philosophical pursuits. By carefully examining Salish practices from past to present, an emphasis is placed on the significance of comprehending and respecting the uniqueness of plant life. Through this analysis, the primary goal is to enhance our understanding of the profound connection between humans and plants while embracing the authenticity and complexity of this relationship. Appreciating the true nature of the bond can offer valuable insights into sustainable coexistence with the botanical world and contribute to fostering a more balanced and respectful relationship between humans and the natural environment.
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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 | 0.003 | 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 | 0.006 | 0.050 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".