Bibliographic record
Abstract
The Anthropocene is characterized by accelerating, unpredictable, and unprecedented human-induced change which threatens the existence of diverse societies, cultures, species, and ecologies. Underlying these issues are unsustainable socio-ecological systems which separate nature and society enabling the capitalist exploitation and degradation of both. Cities and industrial food production are key sites of these struggles as both symptoms and causes of the Anthropocene. Regenerative food and fiber systems have the potential to reconnect people to place, the web of life, and their bodies in urban novel ecosystems creating better socioecological networks in the process. The south shore line in Vancouver is currently occupied by a novel ecosystem typical of highly altered post industrial sites and transportation corridors with plentiful plant resources and habitat potential. This project proposes a regenerative food & fiber network along an existing post-industrial railway corridor in Vancouver. The comprehensive design creates landscapes and architectures that offer flexible space to encourage and support reciprocal acts of care for the landscape. Site interventions provide opportunities for local community members to plant, tend, harvest, share, and recycle food and materials, activities which contribute to the long-term ecological restoration of the site.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.063 | 0.007 |
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".