MétaCan
Menu
Back to cohort
Record W3215223875 · doi:10.32920/ryerson.14665908.v1

A framework for emergence: embracing ecological principles in post-industrial landscapes

2021· preprint· en· W3215223875 on OpenAlexaff
Sandra Wojtecki

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAnthropoceneEcologyMindsetEarth scienceEnvironmental resource managementEnvironmental ethicsGeographyEnvironmental scienceComputer scienceGeology

Abstract

fetched live from OpenAlex

The Anthropocene, a name proposed for our current geologic age, is a phrase that describes how universal conditions on earth are changing by human impact- faster than geological occurrences. The shape of our landscapes, the composition of our soils and bodies of water, and even atmospheric particles are impacted by human activities. We see the dominating mindset most evidently in our urban environments, as the efficiency of roadways guide the shape of the landscape, and the forces of economics shape our skyline. Unlike a biological organism that emerges from the flux and flow of available materials and nutrients, we permanently affix ourselves on the earth and take beyond our resource share. This thesis explores how architecture can respond to the needs of density by reconceptualizing our practical and temporal relationship to nature through embracing the fundamentals of ecological principles, formulating a framework for the built environment in post-industrial landscapes.

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 score0.518
Threshold uncertainty score0.801

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 integrity0.0010.001
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 head0.051
GPT teacher head0.277
Teacher spread0.226 · 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

Explore more

Same topicArchitecture and Computational DesignFrench-language works237,207