The Symbiotic Relation of Milkweed Fibre and Environmental Art Education
Bibliographic record
Abstract
Through a methodology of research-creation, this thesis explains how an environmental practice consisting of growing, foraging, and harvesting indigenous plants of North America, primarily milkweed, can translate into an environmental art education within the classroom. It describes the path an art educator and textile artist walked to expose readers to elements of the outdoors, and suggests paths to take to proactively embody environmental practices. It asks: “How can she establish a sustaining environmental art education?’’ With themes of Canadian identity, epistemology, reciprocity, deep ecology, and environmental conservatism, the artist and educator walks the readers through steps of papermaking with milkweed seed pod fibre grown and harvested locally. \n \nÀ travers une méthodologie de recherche-création, ce mémoire explique comment une pratique environnementale constituant de faire pousser, de récolter, et de cueillir des plantes indigènes de l’Amérique du Nord, principalement l’asclépiade, se traduit en une éducation des arts environnementale au sein d’une classe. Ça décrit le chemin qu’une éducatrice des arts et une artiste textile a pris afin d’exposé les lecteurs aux éléments de la nature, et suggère des voies à prendre de manière proactive en lieu d’incarner des pratiques environnementales. Ça demande: “Comment peut-elle établir une éducation des arts environnementale soutenable?’’ Par des thèmes d’identité canadienne, d’épistémologie, de réciprocité, d’écologie profonde, et de conservatisme environnemental, l’artiste et éducatrice mène les lecteurs au travers des démarches de la fabrication de papier en utilisant la fibre contenue dans les cocons de graines d’asclépiade poussé et récolté localement.
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.022 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".