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Record W4382021868 · doi:10.55588/ajar.380

Minor architectures, micro empires: women and the production of domestic space on the nineteenth-century Pacific 'Frontier'

2023· article· en· W4382021868 on OpenAlexafffundabout
Tijana Vujošević

Bibliographic record

VenueARENA Journal of Architectural Research · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of British Columbia
FundersUniversity of British Columbia
KeywordsFrontierDominionMinor (academic)ColonialismHegemonyNegotiationArchitectureSpace (punctuation)Identity (music)British EmpireObject (grammar)SociologyGender studiesHistoryArtPolitical scienceArchaeologyAestheticsLawSocial sciencePhilosophy

Abstract

fetched live from OpenAlex

This essay looks at three portraits of women as homemakers on the Pacific Northeast following British Columbia's 1873 accession to the Dominion of Canada, when colonial relationships were buttressed by legal and administrative means, and ideas and practices of the home were central to the spread of Victorian moral norms on the Canadian ‘frontier’. Colonial spatial notions of interiority and exteriority, relationships to the site, and object-regimes were negotiated in this intimate microcosm. The work of space-making that ‘frontier’ women presented in minor pictorial and literary genres was in itself a ‘minor architecture’ about finished form, or objecthood, and the perpetual negotiation of contradictory and unstable imperial spatial relationships which required reworking, reproducing, and redefining. These minor architectures' histories on the ‘frontier’ reveal architecture's power to weave hegemonic values into the very fabric of existence, as well as the fundamental interconnectedness of the identity of settler women and their labour.

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)0.001
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: Empirical
Teacher disagreement score0.504
Threshold uncertainty score0.987

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0210.031
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.030
GPT teacher head0.311
Teacher spread0.281 · 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
Published2023
Admission routes3
Has abstractyes

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