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Record W4384695212 · doi:10.22215/etd/2023-15469

Architecture of the Mosh Pit: Metal Music to Open the Urban Fabric

2023· dissertation· en· W4384695212 on OpenAlexaboutno aff
Miriam Doyle

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicPublic Spaces through Art
Canadian institutionsnot available
Fundersnot available
KeywordsCasualArchitectureRealmUrban designArchitectural engineeringUrban planningVisual artsEngineeringCivil engineeringAestheticsArtGeographyArchaeologyPolitical science

Abstract

fetched live from OpenAlex

This thesis mines Heavy Metal music for design inspiration in Ottawa, Canada, where for the past thirty years, decision-makers and urban planners have prioritized conventional condominium and office developments over cultural spaces and a dynamic public realm. Ottawa’s urban fabric has become increasingly homogeneous. Building on the notion that healthy cities rely on the co-presence of the refined and the gritty, and of formal and casual spaces, this thesis folds opposing realms together. A proposition for a concert venue on a residual block abutting the Queen Elizabeth Highway across from the former Ottawa Bus Station on Catherine Street organizes the cohabitation of transgressive and obedient urban rituals. Focusing on the marginal dweller, this thesis utilizes metal music as a catalytic tool to pierce and disrupt normative urban planning strategies, and to guide the design of spontaneous spaces of creative expression including a mid-size metal concert venue and cultural centre.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.073
Threshold uncertainty score0.146

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0060.007
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.040
GPT teacher head0.351
Teacher spread0.312 · 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 source (direct Gemma or distilled Codex), 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
Published2023
Admission routes1
Has abstractyes

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