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Record W4384696021 · doi:10.22215/etd/2023-15462

Ecocentric Architecture: A Counterproposal for Pierrefonds West

2023· dissertation· en· W4384696021 on OpenAlexaboutno aff
Jillian Weinberger

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicEnvironmental Philosophy and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsAnthropocentrismLandscape designEcological designLandscape architectureEnvironmental ethicsArchitectureWildlifeUrban sprawlNeighbourhood (mathematics)GeographyArchitectural engineeringEnvironmental planningEnvironmental resource managementEngineeringEcologyUrban planningCivil engineeringEnvironmental scienceArchaeology

Abstract

fetched live from OpenAlex

Habitat loss and fragmentation are the most significant factors causing species extinction. Consequently, architectural and landscape designers are shifting their approaches from anthropocentric design to ecocentric design, prioritising designing with entire ecosystems in mind. In this thesis, the Cap Nature neighbourhood development project in Montreal serves as both a case-study and a site for ecocentric design. Cap Nature, proposed in 2005, caused public disagreement about consequential urban sprawl and environmental concerns. The project was canceled in 2017 and the untouched post-agricultural landscape remains. This thesis uses speculative site plan and building design strategies supported by environmental mappings, habitat drawings, and theoretical reflections of existing ecological design frameworks to investigate the potentials of ecocentric design as a counterproposal for the site. The counterproposal blurs boundaries between human and non-human landscapes and inverts anthropocentric design practices, presenting an architectural typology that reprioritises wildlife, habitat construction, and cohabitation between human and non-human species.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.445
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)0.0040.005

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 head0.012
GPT teacher head0.262
Teacher spread0.250 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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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