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Record W3031004035 · doi:10.14288/1.0390882

Beyond Industry : A Systems-Based Approach to Collective Form

2020· article· en· W3031004035 on OpenAlexaboutno aff
Jesse Martyn

Bibliographic record

VenuecIRcle (University of British Columbia) · 2020
Typearticle
Languageen
FieldEngineering
TopicDesign Education and Practice
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessComputer science

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.869
Threshold uncertainty score0.950

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.180
Teacher spread0.164 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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