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Record W4384697374 · doi:10.22215/etd/2023-15602

Toronto's Terrestrial Reefs: BioRock's Infrastructural Biogeochemical Futures

2023· dissertation· en· W4384697374 on OpenAlexaboutno aff
Cameron Joseph Penney

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsnot available
Fundersnot available
KeywordsBiogeochemical cycleFutures contractReefSustainabilitySpeculationWork (physics)DredgingEnvironmental scienceEngineeringAgency (philosophy)Environmental planningEarth scienceCivil engineeringEnvironmental resource managementOceanographyEcologyGeologyBusiness

Abstract

fetched live from OpenAlex

This thesis explores the design potentials of BioRock, an underutilized accreting material that simulates the reef building processes of corals. BioRock is a grown limestone, alternative to concrete with design agency that has many positive benefits including its ability to act as an ecological scaffold, sequester pollutants, and being highly sustainable. This thesis proposes three speculative applications of BioRock within Toronto, including the reintroduction of Alvars as a landscape strategy extending from aggregate infills, an industrial remediation for obsolete water treatment reservoirs, and the in-situ repair of concrete bents supporting the Gardiner Expressway. As a material system, BioRock can help relieve cities from environmental and infrastructural issues, informing new design proposals for future urbanization. This design is explored through experimental models and test fragments of BioRock which form a library of artefacts that traverse biogeochemical scales of speculation, assembling a collection of work that I call a Terrestrial Reef.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.383
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
Bibliometrics0.0000.000
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 head0.006
GPT teacher head0.228
Teacher spread0.222 · 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 designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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