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Record W4405099115 · doi:10.22215/etd/2024-16271

The Changing Landscape of Ottawa Rooming Houses between 1990 and 2020

2024· dissertation· en· W4405099115 on OpenAlexaffabout
Jessica Caitlyn Sperry

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsCarleton University
Fundersnot available
KeywordsDowntownFinancializationAffordable housingNeoliberalism (international relations)Urban landscapeRentingRental housingEconomic growthBusinessPolitical scienceGeographyEnvironmental planningSociologyFinancePolitical economyEconomicsArchaeology

Abstract

fetched live from OpenAlex

This thesis investigates the emblematic changes of the rooming house landscape in Ottawa between 1990 and 2020.Unveiling a range of socio-economic factors, this research adopts the framework of neoliberalism and financialization of housing to explore this changing landscape.My research focuses on the closure and subsequent transformations of rooming houses in two neighborhoods, Centretown and Sandy Hill.Through examining these cases and study sites in downtown Ottawa, this research uncovers how rooming houses undergo changes, often succumbing to profit-driven corporate interests, thus steering rooming houses away from their traditional role of providing affordable rental housing in the private sector.The changing landscape of rooming houses illustrates the ramifications for affordable housing options in the neoliberal and financialized urban environment of cities such as Ottawa.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.326

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0030.004
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.017
GPT teacher head0.228
Teacher spread0.211 · 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 designObservational
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
Published2024
Admission routes2
Has abstractyes

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