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Record W3013541623 · doi:10.22215/etd/2020-13938

An Undetectable Work-Ethic: Design Activism’s Detour into Subcultures of Queer Disability and Innovation.

2020· dissertation· en· W3013541623 on OpenAlexaff
Juan Saavedra

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldArts and Humanities
TopicCrafts, Textile, and Design
Canadian institutionsCarleton University
Fundersnot available
KeywordsInvisibilityQueerInclusion (mineral)SociologyWork (physics)Public relationsGender studiesEngineering ethicsPolitical scienceEngineeringComputer science

Abstract

fetched live from OpenAlex

LGBTQ communities globally continue to gain momentum in social acceptance yet continue to be challenged in their pursuits of equality. This research inquiry seeks to acknowledge and illuminate Design-Activism's relevancy among LGBTQ communities with a focus on Activism, Entrepreneurship and (Invisibility) Disability Culture. This study uses a mixed methods approach to understand Design-Activism's capacity towards accessing new and alternative modes of social inclusion. Drawing from theoretical and design-driven generated forms of knowledge, this study aligns pre-assumed disconnected concepts and highlights the unnoticed interconnectedness. Discovered are the boundaries and forces needed to expand Design's potential role towards championing Design beyond traditional commercial applications, with a concentrated effort towards service gaps and accessibility. LGBTQ communities, although historically antagonized, demonstrate genuine insights and contributions towards the practice of Design Activism, thus revealing much more about people and the importance of Design.

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)0.018
metaresearch head score (Gemma)0.020
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: Other · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.020
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0160.073
Scholarly communication0.0120.009
Open science0.0010.013
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.062
GPT teacher head0.291
Teacher spread0.229 · 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
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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