Growth-Management Implementation in Metropolitan Vancouver: Lessons from Actor-Network Theory
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A case study is used to analyse metropolitan growth management implementation in Greater Vancouver, adding to a growing base of literature studying plan development and implementation through an actor-network theory (ANT) lens. It focuses on Metrotown, an office node initially designated in the Livable Region Plan and remaining regionally significant today. Unfortunately, Metrotown lost some momentum as business parks have seen more office growth in recent years. ANT's qualitative approach to inquiry is used to understand how and why this occurred. In ANT, an actor network emerges in response to any social goal, and is comprised of individuals, organisations, and inanimate artefacts including technologies, processes, laws, buildings, and infrastructure. In this case, the analysis emphasised how network fluctuation impacted plan implementation, including efforts to stabilise and destabilise relationships through what Latour calls black boxes of varying types. It also examined both successful and unsuccessful enrolment strategies. The case suggests that regional and municipal actors possessed enrolment skills but were unable to make more use of them. Further case studies are recommended to enhance planners' skills in coping with fluctuations and developing more effective enrolment strategies for implementation.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it