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Record W4206759601 · doi:10.22215/etd/2020-14061

From Powering a City to Fueling its Citizens, Vertical Urban Farming in a New Light

2020· dissertation· en· W4206759601 on OpenAlexaboutno aff
Erin Kirkland

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicInnovations in Aquaponics and Hydroponics Systems
Canadian institutionsnot available
Fundersnot available
KeywordsDowntownAbandonment (legal)Urban agricultureFood securityLeverage (statistics)Architectural engineeringAgricultureEnvironmental planningEngineeringBusinessGeographyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

This thesis explores the role that architectural interventions can play in engaging the public with their food supply. It is an adaptive reuse proposal for the Rossdale Power Plant located in downtown Edmonton, Alberta. The proposal addresses the history of the site, which has seen a number of uses, including agriculture and power generation, before its relative abandonment in the 1990s. The proposal includes the adaptation of aquaponic systems to leverage water and light in unique ways, with the goal of drawing community back to the site and enabling people to engage with their food from seed to serving. Community gardens and other programs such as market stalls, a grocery store, a community kitchen and dining space, classrooms and event spaces, highlight the public ambitions of the project to improve food security and food literacy in the urban environment.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.829
Threshold uncertainty score1.000

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)0.0010.000

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 head0.026
GPT teacher head0.258
Teacher spread0.232 · 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.

Study designBench or experimental
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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