ISKATEWIZAAGEGAN (SHOAL LAKE) PLANT KNOWLEDGE: AN ANISHINAABE (OJIBWAY) ETHNOBOTANY OF NORTHWESTERN ONTARIO
Bibliographic record
Abstract
We worked with Iskatewizaagegan (Anishinaabe) elders to create a holistic representation of their plant knowledge as well as a more standard ethnobotanical system of classification. In order to understand the holistic approach, chosen by elders to represent their plant knowledge, it was necessary to understand the ontology, epistemology and phenomenology of plant knowledge. This is explored through an examination of the ethnobotanical data, collected in 2000 and 2001, as a system of classification that includes the processes of classification, nomenclature, and identification. In conclusion, we propose that elders emphasize a holistic ethnobotany since they believe plant knowledge resides in the plants of a place and the relationships between persons and plants of that place. This leads to the conclusion that a critical factor in perpetuating knowledge over time, and between generations, is the ongoing creation of relationships through land-based activities.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".