A mosaic of micro-landscapes: Finding a future in environmental education
Bibliographic record
Abstract
This document represents the practicum research and proposed design work conducted within Grand Rapids, Manitoba. The site selected for design intervention is a 350 x 150 m abandoned borrow pit, southwest of the Grand Rapids townsite. Created by Manitoba Hydro during the 1960’s construction of the Grand Rapids Generating Station, this borrow pit has been left to natural succession for over half a century. At the time of this writing, the site has undergone no official rehabilitation procedures, practices which are now legally required by Manitoba Hydro. As such, the borrow pit represents a unique nature, both disturbed and untouched- an opportunity to explore rehabilitation practices and their potential to intertwine with community engagement; specifically, the elementary curriculum of Grand Rapids School. The borrow pit itself was identified as an area of interest through extensive regional studies and site analysis, compounded with research regarding the community of Grand Rapids. Once the site was identified, drone surveys were conducted in the spring, summer, and winter seasons of 2016-2019, in tandem with ground photography and analysis. Drone documentation resulted in detailed aerial imagery, precise contour data, and a point cloud recreation of the site in virtual space. The extensive surveillance of the site was crucial in identifying and understanding the existing conditions. Through this understanding, the potential for the site to become a space for outdoor education was revealed, and it was possible to develop a well-informed site design. The resulting design represents a proposed future for the borrow pit, in which nature may find a new form within a disturbed site, and the students of Grand Rapids may find an opportunity to engage in environmental education.
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 | 0.004 | 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 | 0.007 | 0.009 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".