Over my dead body: an exploration of burial practices for tallgrass prairie restoration
Bibliographic record
Abstract
The tallgrass prairie of Manitoba is among the most endangered ecosystems in the world. Rapid settlement in the prairies around the turn of the twentieth century led to an influx of agricultural development, setting forth a chain of events that would eventually see the near-total destruction of this once vast ecosystem. Today less than 1% of Manitoba’s native tallgrass prairie remains. How can we restore and protect this critically endangered ecosystem? To combat the destruction of the tallgrass prairie, this practicum traces the history of burials in the western world to propose a new cemetery development and management model to restore and protect this endangered ecosystem. This new model utilizes natural burial practices to establish a new eco-centric cemetery landscape in Winnipeg, Manitoba, to adapt to our society’s increased ecologically conscious sensibility. Because Canada has burial rights in perpetuity, this cemetery allows those interred within to take a stand and let everyone know that you can take this land over my dead body.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".