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Record W4234028120 · doi:10.22215/etd/2015-11201

Grounding Condoland: Counteracting Future Deline

2015· dissertation· en· W4234028120 on OpenAlexaboutno aff
Ema Graci

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicUrban Design and Spatial Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSituatedPedestrianSpeculationIsolation (microbiology)Architectural engineeringUrban designSociologyEnvironmental ethicsGeographyEngineeringArchitectureCivil engineeringComputer scienceArchaeologyBusinessPhilosophy

Abstract

fetched live from OpenAlex

A complex array of factors has facilitated a recent influx of condominiums in Toronto. Many of these high-density residential developments appear to have affected the human scale and integrative sense of community. Concord CityPlace will serve as a site for analysis. The question asked is whether speculation about CityPlace is correct that the development will ultimately deteriorate into slums. Solutions will be provided in regards to site isolation and pedestrian accessibility and the use of outdoor urban spaces within and directly around the site. This thesis will respond through urban design and architectural interventions, situated along three site borders. We will adapt ideas from Jane Jacobs’ critique of the modern city and her theory of border vacuums. A debate with Jan Gehl’s concept of spaces for moving and places for staying and Richard Sennett’s notion of the open system will then serve to enhance Jacob’s outlined themes.

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)0.008
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.027
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.032
Scholarly communication0.0090.010
Open science0.0030.014
Research integrity0.0040.006
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 head0.011
GPT teacher head0.243
Teacher spread0.232 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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