Natural Capital: Illuminating the True Value of Nature’s Services through Community-Engaged, Site-Specific Creative Production and Exhibition
Bibliographic record
Abstract
The Natural Capital Project is an interactive community mapping and storytelling project designed to promote the nonmarket value of nature's essential ecosystem services in the Lower Mainland region of British Columbia, Canada, and shed new light on the importance of fragile coastal ecosystems in people's lives.The project was developed through a two-semester cross-disciplinary studio-based community projects course in the Faculty of Culture + Community at one of Canada's leading postsecondary art institutions, the Emily Carr University of Art + Design (Vancouver), in partnership with one of Canada's leading environmental organizations, the David Suzuki Foundation (DSF).Through a dynamic and collaborative approach to documentary practices, postsecondary art students across a variety of levels and disciplines created a series of digital narratives for an app in development by DSF designed to bring to life their report on aquatic ecosystems in British Columbia's Lower Mainland.The study estimates that the region's wetlands, beaches, and coastal areas provide at least $30 to $60 billion in economic benefits to residents every year.The course culminated in a museum exhibit at the Gulf of Georgia Cannery (GoGC) in Steveston, British Columbia, offering students the opportunity to see the effects of their work in a public space and feel like their input could have an impact on the environment and in changing hearts and minds.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".