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Record W3167443973 · doi:10.22459/ireh.07.01.2021.02

The naturalisation of settler colonialism by a flowered Irish quilt in Upper Canada

2021· article· en· W3167443973 on OpenAlexaffabout
Vanessa Nicholas

Bibliographic record

VenueInternational Review of Environmental History · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsYork University
Fundersnot available
KeywordsNaturalisationQuiltIrishColonialismPolitical scienceLinguisticsHistoryLawPhilosophyArchaeology

Abstract

fetched live from OpenAlex

Studying an embroidered quilt that Mary Morris (1811-97) made as a young girl in Ireland four years before she transported it to Upper Canada in 1829, this article argues that the floral decorative traditions imported by British women to British North America had a political dimension.The quilt, which is a patchwork of printed cottons surrounding panels of white cotton embroidered with representations of flowers, birds, insects and hunting scenes, combines embroidered motifs inspired by Indian chintz textiles with printed cotton fabrics of English manufacture featuring floral designs.As such, Morris' flowered quilt represents the imperial economy that enabled settler colonialism in Canada.This is significant because it suggests that the seemingly mild-mannered domestic objects prized or made by British women in Upper Canada contributed to a visual and material culture that was invested in destabilising the environmental and cultural sustainability of Indigenous 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

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.347

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0180.012
Scholarly communication0.0050.001
Open science0.0010.003
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 head0.008
GPT teacher head0.202
Teacher spread0.194 · 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
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

Citations1
Published2021
Admission routes2
Has abstractyes

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