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Record W3175056523 · doi:10.24908/pceea.vi0.14915

ENGINEERING, PATRIARCHY, AND THE PLURIVERSE: WHAT WORLD OF MANY WORLDS DO WE DESIGN? WHAT WORLDS DO WE TEACH?

2021· article· en· W3175056523 on OpenAlexaffvenue
Stephanie Mutch, Matt Borland, Kate Mercer

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2021
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Pedagogy
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPatriarchySociologyEmbodied cognitionEngineering ethicsPerspective (graphical)Critical theoryEpistemologyParticipatory designWork (physics)Citizen journalismComputer scienceEngineeringPolitical scienceGender studiesLawPhilosophy

Abstract

fetched live from OpenAlex

This paper presents a brief review of sustainability definitions and analyzes ways of designingtaught in our Engineering education system, specifically acknowledging the capitalist, patriarchal, colonial, Western world that much, if not most, of current Engineering practice situates itself within. Included in these frameworks are pluriversal design, co-design, participatory design, and discursive design. Another important topic that will be examined is the dualist perspective embodied in Engineering practice that creates a distinction between “man” and “nature”. While this problem is inherently systemic, our intention is to provide a partial record of our own critical selfreflection,contextualized using critical theory. It is intended as a starting place for settler-descendent NorthAmerican educators to begin to contextualize our own approaches, not as a way for us to guide steps forward, but instead to begin a self-critique of current approaches that need continued work.

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)0.008
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.992
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.057
Scholarly communication0.0160.012
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.215
Teacher spread0.206 · 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.

Study designTheoretical or conceptual
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

Citations4
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueProceedings of the Canadian Engineering Education Association (CEEA)Same topicEngineering Education and PedagogyFrench-language works237,207