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Record W4400142502 · doi:10.1145/3643834.3661540

Untangling Cables: A Case Study of the Life & Afterlife of Digital Devices in Academic Research

2024· article· en· W4400142502 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueDesigning Interactive Systems Conference · 2024
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsSimon Fraser University
FundersSimon Fraser UniversityPacific Institute for Climate Solutions
KeywordsAfterlifeComputer scienceEngineeringPhilosophyEpistemology

Abstract

fetched live from OpenAlex

As researchers and academics, we investigate our bad habitus—our everyday practices around technologies for research that reinforce dynamics of extraction, consumption, and waste—in relation to the lifecycle of technology in academic research. Through qualitative interviews, observation, and visual documentation, this case study explores the consideration of sustainability in purchasing decisions, use, maintenance, and disposal processes of digital devices used in a North American university as well the institution's related policies and procedures and faculty members’ practices. Through this research we find tensions that complicate sustainability in the university research context. We develop a rich description of the complexities of creating sustainable practices, policies, and procedures in a university setting as a step towards becoming more sustainable in our work and in our institutions, and we offer a set of recommendations for our academic institution and systems that both advance and thwart efforts to create sustainable practices.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score0.674

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0000.002
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 head0.217
GPT teacher head0.423
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