Liminal Ecologies: A Lexicon and Preliminary Inventory of Liminal Ecologies in the City of Toronto
Bibliographic record
Abstract
The existence of liminal ecologies provides an opportunity to reintegrate nature into urban spaces and urban life. Supporting biodiversity and the human nature connection in cities is necessary to mitigate the harms of Global Climate Change. A connection to nature has been linked to environmentally protective behavior and identified as a strategy to grow a more resilient future. Westernized valuation systems of conceptualizing and protecting biodiversity have isolated people from nature. This disconnection from nature disproportionately impacts equity seeking communities in cities. Considering the geographic and policy landscape of the City of Toronto, this paper will demonstrate the opportunity for liminal ecologies to increase equitable access to nature, foster the human nature connection and support urban biodiversity. A lexicon and preliminary inventory will be proposed to facilitate understanding of liminal ecologies and their potential towards reimagining the city. This work will set the foundation for further investigation of liminal ecologies as a catalyst for cultivating our collective relationship to nature in the City of Toronto.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.011 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".