MétaCan
Menu
Back to cohort
Record W3168737418 · doi:10.30958/aja.7-1-1

Building “Working with, not for” into Design Studio Curriculum

2020· article· en· W3168737418 on OpenAlexaffabout
Saskia van Kampen, Cheryl Giraudy

Bibliographic record

VenueAthens Journal of Architecture · 2020
Typearticle
Languageen
FieldEngineering
TopicDesign Education and Practice
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsEngineering ethicsParticipatory designCurriculumGrassrootsSociologyPedagogyEquity (law)PlacemakingCitizen journalismDesign studioPublic relationsStudioEngineeringPolitical scienceUrban design

Abstract

fetched live from OpenAlex

Design ManifesT.O. 2020 is a Participatory Action Research project currently underway in Toronto, Canada and is working with communities to uncover stories of grassroots placemaking and community building done through creative practice. An unexpected discovery during data collection highlighted how communities are still being left out of decision-making processes that directly affect their collective values and living conditions and are being disrespected by designers and researchers — exposing very large gaps in the education of designers in terms of values-based learning, design ethics, and informed methods for working with communities. This paper interrogates design pedagogy and practice in order to stimulate further discourse and investigation into how to successfully integrate ethical and responsible protocols into design curriculum to support co-design practices where social justice and equity becomes normalized in practice. In other words: giving students the tools to “work with, not for” communities. Demonstrating social conscience is ethically desirable in design education but if students are not given the tools required to work with communities through respectful and collaborative processes then we are training the next generation of designers to continue a form of hegemony in design practice that is undesirable.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.912
Threshold uncertainty score0.403

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.040
GPT teacher head0.266
Teacher spread0.227 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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 routes2
Has abstractyes

Explore more

Same venueAthens Journal of ArchitectureSame topicDesign Education and PracticeFrench-language works237,207