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Record W4415273446 · doi:10.28968/cftt.v11i2.42825

Scraps, Scrappiness, Scrapper

2025· article· W4415273446 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCatalyst Feminism Theory Technoscience · 2025
Typearticle
Language
FieldArts and Humanities
TopicCrafts, Textile, and Design
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMainstreamMateriality (auditing)StaringQueerNarrativeAbleismFutures contract

Abstract

fetched live from OpenAlex

DIY maker culture is booming, and while mainstream spaces and practices often reproduce systemic injustices and inequalities, disabled queer feminist creators are crafting/coding/making differently, generating alternative futures and worlds that are accessible, ethical, and collaborative. This paper explores how disabled feminists engage with technology and design to create community and intervene in dominant narratives of able-bodiedness. My case studies move between digital and physical technologies, including crip/queer game design; the creation and use of masks (both prior to and during the COVID-19 pandemic); and modding, hacking, and other fandom practices that build access into media, perform collective care, and challenge ableist attitudes. Throughout this process of sewing together scraps, I hold onto a crip feminist understanding of materiality and the body: We prick ourselves with sewing needles or get migraines from staring at the screen; our hearts and bodies are heavy with the effort of surviving violence—digital and physical, slow and fast, personal and structural.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.814
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0040.010
Scholarly communication0.0020.001
Open science0.0040.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.014
GPT teacher head0.247
Teacher spread0.233 · 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