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Record W4295879588 · doi:10.38055/fr010101

I Love You as Much as All the Beads in the Universe: A Garment-Based Inquiry into Re-Stitching Alternative Worlds of Love

2022· article· en· W4295879588 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFashion Studies · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicCrafts, Textile, and Design
Canadian institutionsnot available
FundersStrong
KeywordsImage stitchingAestheticsArtComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

This Master of Design thesis research engages with a praxis of decolonial love through garment construction and beadwork as a practice-based method of inquiry. This research centres decolonial love as methodology with the expressed purpose to physically and conceptually re-stitch alternative worlds that are grounded in ethical practices and based on respect, empathy, reciprocity, consent and love. Engaging in decolonial love as praxis, the artistic production of this MDes thesis re-frames pattern drafting, garment construction and stitching methods within decolonial and relationship-based contexts. This MDes thesis (both written and visual) prioritizes, and foregrounds, all of the relationships that make up my identity as a Penetanguishene Aabitaawikwe and centres these relationships as praxis towards building alternative worlds of love that honour, celebrate and mobilize Indigenous internationalism, intercultural solidarity, co-resistance and liberation.

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.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.104
GPT teacher head0.329
Teacher spread0.225 · 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