Ethnobotany of Select Flora in Ontario
Bibliographic record
Abstract
“Community Based Research in Indigenous Studies” is a collaboratively taught course rooted in the philosophy of the Anishinaabeg, who have long called this territory bordering the Great Lakes home. A key component of this course involves reintroducing flora to Deshkan Ziibi, who travels through Western campus. My interest in growing and learning about these plant beings coincides with my upbringing along the Kaniatarowanneneh, which contains multitudes of relationships within the mass of biodiversity it hosts. To harbor a connection between the land and myself, my family would tell me about the relationships of beings around us, which I noticed was something I lacked when I first met Deshkan Ziibing. So, before I even established this output, I had to establish a connection with the flora present in this course – and those that surrounded them -- which I cultivated through visits to the site on which this course is conducted, caring for the seedlings, working in the surrounding garden they were present in, and conversing with my clanmother about their Kanienkeha names and stories.\nThe flora information compiled in this output is a contribution to the Indigenization of Western University, as a supplementary means of establishing a connection to Deshkan Ziibing. Introducing flora by name is a start to a relationship, but providing each flora’s relationship to Turtle Island invokes a deeper understanding of their individuality. By providing the flora's geographical and ethnobotanical history, we can visualize a plants’ homeland as well as their ancestral relationships to harbor new ones. By providing a visual format of the flora’s context present in this course, I hope to aid the connectedness to the land this course is pioneering.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".