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Record W4249967410 · doi:10.32920/ryerson.14656758

Make/shift - a creative community project

2021· preprint· en· W4249967410 on OpenAlexaff
Natalie Doroslovac

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsGrassrootsProsperityFactory (object-oriented programming)Neighbourhood (mathematics)Industrial heritageArchitectural engineeringSociologyPolitical scienceEngineeringEconomic growthCultural heritagePoliticsEconomicsComputer scienceCultural heritage management

Abstract

fetched live from OpenAlex

This thesis project is a contextual response, using physical, social and economic conditions of a site in a particularly provoking city to explore spatial-programmatic architectural responses. The Creative Community is a response to the problems prevalent in post-industrial cities like Detroit; it is a city with an exceptionally striking building stock that lacks social and economic prosperity. Blight is compounded by low density, however this research suggests that this cycle could possibly be broken by grassroots, nodal intensification at the neighbourhood level. Built precedents and industrial city research will form the dialogue of the thesis. A response formulated to engage with a 1930’s factory and its surroundings will be the culminating Design Project. This thesis project attempts to crystallize an architectonic vision that highlights the industrial heritage of the city while projecting future economic trends in the knowledge industry by tapping into the creative energy of a historically vibrant community.

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 score0.870
Threshold uncertainty score0.763

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 integrity0.0000.001
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 head0.033
GPT teacher head0.264
Teacher spread0.231 · 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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