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Record W3006952320 · doi:10.3138/topia.2018-0002

Women, High-Rise Condominiums and Curated Living: Canadian Hegemonic Itineraries of Female Empowerment

2019· article· en· W3006952320 on OpenAlexvenueaboutno aff
Miglena S. Todorova

Bibliographic record

VenueTOPIA Canadian Journal of Cultural Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsEmpowermentHegemonyCapitalismNarrativeGender studiesSociologyState (computer science)Power (physics)Independence (probability theory)Ethnic groupReal estateEconomic growthPolitical scienceEconomicsLaw

Abstract

fetched live from OpenAlex

The intense development of high-rise condominium buildings in the city of Toronto has been supported by state, media and industry-based narratives depicting empowered women whose achievements and increased purchasing power drive the “feminization” of the city’s real estate market. This article looks beneath the veneer of female empowerment constructed by these cultural narratives. It explores how state, industry-based and mass media constructions of homeownership and luxurious condominium lifestyles in Toronto have empowered local women from different racial, ethnic and class backgrounds. It also explores how this empowerment has allowed Canadian state and capitalist patriarchal formations to adjust and survive by accommodating women’s need and desire for independence, safety, choice, and consumer power, and by reproducing social distances between women and others, including non-humans and the natural world. By mapping and analyzing the occurrence and reiteration of these social distances and the hegemonic powers exerting them, this article contributes to feminist studies of cultures of vertical capitalism.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.110
Threshold uncertainty score0.799

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0340.028
Scholarly communication0.0060.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.028
GPT teacher head0.277
Teacher spread0.249 · 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 designQualitative
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
Published2019
Admission routes2
Has abstractyes

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