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Record W4391598910 · doi:10.18260/1-2--43677

Moralizing Design Differences in the North: An Ethnographic Analysis

2024· article· en· W4391598910 on OpenAlexaff
Todd Nicewonger, S. Fritz, Lisa McNair

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicCrafts, Textile, and Design
Canadian institutionsImpact
FundersNational Science Foundation
KeywordsEthnographyComputer scienceSociologyAnthropology

Abstract

fetched live from OpenAlex

Abstract Addressing the 2023 theme of Global Responsibilities of Engineers, in particular the disproportionate impacts of climate change on communities in remote regions of Alaska, this paper tracks the "social life" of a prefabricated frame assembly system designed for constructing homes in emergency contexts in northern Alaska (Appadurai 1986). An Alaskan housing research center began using this prefabricated system over a decade ago, in a time of crisis caused by major spring flooding in an Alaskan riverine community that has long grappled with housing shortages. The destruction of these homes, along with the possessions of the people living in them, was a tremendous loss to this community. The region's short building season and dependency on barge and aerial transportation services for shipping in building supplies further compounded these challenges. In response, local and federal agencies came together and decided on a housing design that uses an integrated wall and truss system that could be prefabricated off-site, shipped out, rapidly assembled by volunteer building crews in the affected site, and that facilitated a highly insulated energy efficient home. As a result, this design played a critical role in mediating further disaster. Fast-forward to the present, the housing research center continues to opt for this system for most remote designs, but builders and engineers have begun to debate whether its advantages outweigh some of its logistical challenges. Some argue that its value has been overstated, while others describe it as a practical and affordable method for building energy efficient homes in remote Alaskan communities. Still others have adapted its design to fit their needs, thus producing new variations of the design, while also showing how the design of this building system might be reimagined. A deep dive into this debate provides an opportunity to analyze how both knowledge building and moral stances inform the ways that engineers assume global responsibilities related to communities affected by climate change. Drawing on three years of ethnographic research among Alaskan engineers, builders, housing advocates, and community stakeholders, this case study reflects what design scholars describe) as the "moralization of technology" through engineering practices (Verbeek 2006: 269). From this perspective, engineering systems may take on multiple meanings and applications, including marking differences in thought, creativity, and moral affinity among experts who are working to addressing affordable housing needs in Alaska. Reflecting on these differences in perspective, this paper tracks the "cultural biography" of this engineered system across time, place, and institutional, cultural, and geographic settings to probe how debates about the efficacy of this prefabricated system come to index varying moral stances and value systems that are deeply qualitative but also very much a part of the technical and materializing processes of the building design (Kopytoff 1986). As a case study, this analysis also can serve as a teaching tool in engineering and interdisciplinary classrooms for examining the integrative nature of ethics and technology as related to a range of human impacts on the environment and marginalized communities.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.518
Threshold uncertainty score0.999

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 communication0.0010.000
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 head0.187
GPT teacher head0.286
Teacher spread0.099 · 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.

Study designQualitative
Domainnot available
GenreEmpirical

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
Published2024
Admission routes1
Has abstractyes

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