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Record W4247876135 · doi:10.1201/9781003208945-14

City of Toronto Experience: the Process of Environmental Approval for the Western Beaches Storage Tunnel

2021· book-chapter· en· W4247876135 on OpenAlexaboutno aff
Wayne Green

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicUnderground infrastructure and sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsProcess (computing)Environmental scienceEnvironmental protectionComputer scienceOperating system

Abstract

fetched live from OpenAlex

The City of Toronto's sewer system, parts of which date back to the mid 1800's was originally developed as a combined system, carrying both sanitary and storm flows. As the City rapidly expanded in the early half of the century, the capacity of the combined sewer system was quickly exceeded and basement flooding became a recurring problem. The City chose this criteria which exceeds the Provincial Guidelines for combined sewer overflows discharges due to the extensive parkland system and swimming beaches along this section of the shoreline. The Class EA process was summarized in an Environmental Study Report and filed with the City Clerk, local library, the Ministry of the Environment and Energy and local citizens groups for the mandatory 45-day appeal period. However, notwithstanding the commitment on the part of the City and Metro to meet most of the conditions, the Minister chose to grant the bump-up request for a full environmental assessment.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.766
Threshold uncertainty score0.992

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)0.0010.000

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 head0.011
GPT teacher head0.219
Teacher spread0.208 · 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 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
Published2021
Admission routes1
Has abstractyes

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