Bibliographic record
Abstract
Globalization and capitalism are resulting in the emergence of more and more urbanized landscapes. As the world becomes increasingly globalized, ports become ideal places for investment and development. Because of its strategic coastal location, Prince Rupert has one of the fastest growing port terminals in North America and is the epicentre for the exploitation of natural resources in Northern British Columbia. As Prince Rupert evolves, peak oil is reached, and non-renewable resources decline, we can imagine a transition toward a renewable resource economy, an influx of renewable resource industries, and an influx of diverse groups of people. This project seeks to envision how the city can develop through a responsive urbanism shaped by the industries that stimulate the local and global economy. This is explored through a Systems-Based Approach to Collective Form. This proposal positions the architect as a mediator. It proposes approaches not as fixed solutions, but as possibilities for how a place can evolve in response to shifting geopolitical and socioeconomic values. This project suggests ways in which an urbanism can develop and adapt to support these shifts, highlighting the need for the designer to consider cycles and transformations. This project forecasts the future generative potential of industries stimulating the Canadian resource economy, while allowing these industries to productively shape the built environment and the exchanges that occur within it
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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.028 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".