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Record W3211659191 · doi:10.32920/ryerson.14644491.v1

Chrysalis: A Metamorphosis of African Vernacular Architecture Traditionally Inspired Strategies for Community Building

2021· preprint· en· W3211659191 on OpenAlexaff
Alykhan A. Neky

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAgency (philosophy)ArchitectureVernacularVernacular architectureSociologyIdentity (music)Citizen journalismCommunity buildingAestheticsGender studiesPolitical sciencePublic relationsSocial scienceGeographyLaw

Abstract

fetched live from OpenAlex

Contemporary architecture in Africa is increasingly dominated by building methods and styles transplanted from the industrialized West, undermining the continuity of African vernacular architecture. Often poorly grafted to local site conditions, these transplanted building models frequently struggle to support community identities. This thesis argues that this is largely due to inappropriately designed shared spaces and through construction methods that disregard the collective agency of users. In response, this thesis employs ‘Chrysalis’: a perceptual lens for reinterpreting vernacular building strategies to demonstrate how collectively built shared spaces can better foster communal cultural expression in contemporary African architecture. This thesis argues that culturally embedded communal space can advance collective identity, promote safety, and encourage social interaction. It also explores how user-participatory construction methods can empower communities by cultivating self-reliance. Transformed though ‘Chrysalis’, a rich history of building traditions is reimagined in the design of a cultural center for a Kenyan Maasai 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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.084
GPT teacher head0.314
Teacher spread0.230 · 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 designTheoretical or conceptual
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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