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Record W4247964058 · doi:10.32920/ryerson.14662062

Generating Change : Sustainable Adaptive Reuse of Urban Power Plants In-Depth Case Studies and Planning Implications for the Hearn, Toronto

2021· preprint· en· W4247964058 on OpenAlexaffabout
Julia Smith

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicUnderground infrastructure and sustainability
Canadian institutionsToronto Metropolitan UniversityUniversity of Toronto
Fundersnot available
KeywordsRedevelopmentReuseAdaptive reusePower (physics)Port (circuit theory)Urban regenerationEnvironmental planningEngineeringPolitical scienceGeographyCivil engineering

Abstract

fetched live from OpenAlex

Cities across the western world are making the transition away from coal energy, and towards greener methods of power generation; as a result, abandoned power plants, including Toronto’s Richard L. Hearn Power Generation Station, are now features of many post-industrial urban landscapes. Largely out of use since 1983, the Hearn has seen a variety of redevelopment concepts over the last 30 years, but recent initiatives to revitalize Toronto’s Waterfront and industrial Port Lands have spurred renewed interest in the site. In order to provide direction for the Hearn’s impending redevelopment, indepth case studies of two adaptively-reused urban power plants, London’s Battersea Station and Austin’s Seaholm Plant, were performed via document analysis and key informant interviews. Salient themes, issues, and commonalities shared by all three cases were identified and explored, and used to formulate a series of seven development recommendations for the Hearn.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score0.788

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 science0.0000.001
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 head0.044
GPT teacher head0.305
Teacher spread0.261 · 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 designQualitative
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
Published2021
Admission routes2
Has abstractyes

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