Bibliographic record
Abstract
To reflect Trent University’s academic leadership in environmental and indigenous studies, Trent has undertaken a collaborative campus stewardship and land-use planning process that prioritizes collection of Indigenous Traditional Knowledge (ITK) and engagement with the local First Nations. Trent’s Symons campus is rich in natural and cultural assets, with drumlins, wetlands, woodlands, meadows and farmland, and diverse flora and fauna. A primary goal of the campus plan is to conserve biological diversity, maintain ecological functions, and sustain ecosystem services across more than 560 hectares, whilst enabling campus expansion and joint benefit infrastructure projects to move forward efficiently and effectively. Trent’s experience in bringing ITK to the forefront of campus stewardship and land-use planning warrants critical examination to advance promising practices for conservation of biodiversity through a collaborative approach to planning
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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 | 0.028 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.016 | 0.019 |
| Scholarly communication | 0.022 | 0.011 |
| Open science | 0.007 | 0.024 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.038 | 0.005 |
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".