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Record W4285044070 · doi:10.22215/etd/2022-15134

The Cloud Factory: A Surrealist Rehabilitation of the Downtown Ottawa Library and Tower

2022· dissertation· en· W4285044070 on OpenAlexaffabout
David Bastien-Allard

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicUrban Design and Spatial Analysis
Canadian institutionsCarleton University
Fundersnot available
KeywordsDowntownTowerFactory (object-oriented programming)Office workersBusinessEngineeringOperations managementPublic relationsPolitical scienceCivil engineeringComputer scienceGeographyArchaeology

Abstract

fetched live from OpenAlex

In 2019, the spread of Covid-19 caused public spaces in cities around the world to close. Office towers evacuated and workers had to adapt to a new home-based way of working. As a result of this rapid change, most office towers in Ottawa are currently empty, and in some cases, unlikely to serve anytime soon, since many large corporations are now considering keeping their employees at home because this model would seem to be cost effective. This major change in mentality and style of employment management has raised new social and financial questions. On one hand, the demand for affordable housing has become a problem; the cost of housing is growing exponentially while availability continues to decrease. On the other, office management companies and building owners are worried about the fate of their empty floor plates. This thesis imagines a solution that would benefit both parties. Surrealism guides the design of a re-imagined tower in which private dwelling and shared communal uses layer themselves upon the office program and soon-to-be-vacated Ottawa Public Library. An intertwined program opens new doors for dwelling in the core and stimulates downtown life.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: yes
Not applicablelow
gptno category
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: yes
Theoretical or conceptuallow
models splitAgreement compares identical category sets and study designs across arms.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score0.999

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.003
GPT teacher head0.179
Teacher spread0.176 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNot applicable · Theoretical or conceptual
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
Published2022
Admission routes2
Has abstractyes

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