Pursuing a green economy: Institutional policy narratives and Vancouver's urban industry in the False Creek Flats
Bibliographic record
Abstract
Since the most recent 2022 IPCC World Climate report it is evident that meeting the goals set in the 2017 Paris Agreement requires quick and comprehensive action (Gao et al. 2017: 1; IPCC 2022: 7; UN News 2022). Building a green economy in this context can serve as a more sustainable approach to achieve economic growth within the constraints of urban areas (UNEP 2011: 7; Bathen et al. 2019: 15). The case study of Vancouver with its growing green economy presents a promising avenue toward this aim (VEC 2018a: 1–7). Beginning with the 1990s the regions expected growth and geography encourages the continuation of the 1975 introduced concept of transit-oriented planning (Metro Vancouver 1994: 9–16). Considering these regional considerations, the City of Vancouver begins to reframe the role of industrial land as crucial to house to city-serving, port related and clean industry (City of Vancouver 1991: 16–17). This policy direction for industrial land can be observed in the False Creek Flats industrial area where a new high-tech sector is meant to coexist with city-serving light industrial uses to meet the needs of the Downtown core (City of Vancouver 2001: 3–7). By the mid-2000s the region and city then extended their efforts around the problem setting of climate change in order to maintain the quality of life in the area long term through a policy direction pursuing sustainability through different avenues (Metro Vancouver 2010d: 9–13). In the following years the next step in this direction was laid in extending the concept to the local economy culminating in the 2012 Greenest City Action Plan (City of Vancouver 2012a: 10–15). The industrial and service-oriented businesses in the False Creek Flats area showed continuous growth throughout this shift despite several smaller rezonings favoring non-industrial uses (see Chapter 4.4). However, at this point it has also become evident that the demand for industrial land and industrial space is bound to outgrow the regional supply (City of Vancouver 2012a: 59–69). With expansion into the periphery off the table new multi-level industrial structures around transit nodes are now offering a promising new perspective for urban industrial land (Metro Vancouver 2011b: 13–21, 2014: 4–8). With the Covid-19 pandemic taking hold in early 2020 the wide range of employment opportunities provided within the False Creek Flats are in addition increasingly seen as a means to pursue policy direction focused on inclusive growth in response to the effects of the pandemic (Canadian Inclusive Economy Initiative 2021: 1; VEC 2021b: 1). To realize this new direction the issues with the intensification and densification of industrial land such as use compatibility and the economic viability of multi-level industrial structures need to be solved quickly (see Chapter 4.5). In this regard the False Creek Flats are already showcasing its potential as a proving ground and beacon for a policy driven urban transformation to address a steadily growing list of outstanding issues (Canadian Inclusive Economy Initiative 2021: 1).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 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".