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Record W4206910269 · doi:10.32920/16866853.v1

Into the Syn-anthropocene: The Resynchronized Architecture of a Keystone Species

2021· preprint· en· W4206910269 on OpenAlexaff
Simon Sharon Gordon

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAnthropoceneCreaturesArchitectureHumanityKeystone speciesEnvironmental ethicsParadigm shiftEcologyWildlifeBiodiversityGeographySociologyEcosystemBiologyNatural (archaeology)EpistemologyPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

We share this world with millions of other species. While humans have claimed and transformed vast territories of the planet, our homogenized environments show little regard for the countless birds, mammals, and other creatures that move through these urban jungles. The relationship between culture and nature is ever evolving, and where it goes next is a question at the forefront of architectural discourse. This thesis sets out to explore how architecture can respond to the socio-ecological tensions between wildlife and the built environment. The research identifies a subset of biological subjects that inform a design process which aims to resynchronize architecture with ecological dynamics. The thesis culminates with a proposal for a hybrid eco-cultural hub which celebrates biodiversity and promotes an emerging paradigm shift; it is a step toward redefining humanity as a keystone species – one whose design interventions are aligned with other subjects with whom we share the ecosystem.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.885
Threshold uncertainty score0.617

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 science0.0010.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.215
Teacher spread0.206 · 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 designSimulation or modeling
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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