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Record W4399127227 · doi:10.21428/f1f23564.e6811dea

DHSI 2022 Conference & Colloquium Special Issue of IDEAH: Introduction

2024· article· en· W4399127227 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.

Bibliographic record

VenueIDEAH · 2024
Typearticle
Languageen
FieldEngineering
TopicDigital Transformation in Industry
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsEngineering physicsEngineering

Abstract

fetched live from OpenAlex

chaired by Caroline Winter (U Victoria).It was one of seven aligned conferences or events.As in the previous two years, the 2022 iteration of the Conference & Colloquium was held virtually due to the COVID-19 pandemic.To facilitate participation across time zones, it featured pre-recorded conference presentations, digital posters showcased in an online exhibit, and live discussion of these materials.Additional conversations took place on twitter.comvia #DHSIConf and the general event hashtag #DHSI22.This special issue, which brings together a selection of papers arising out of the DHSI 2022-Online EditionConference & Colloquium, is the sixth such collection.In our introduction to the previous special issue, Lindsey Seatter, Caroline Winter, and I echoed many others before us by pointing out how, despite the pandemic, technology allowed members of our scholarly community to stay connected.Indeed, one of the unifying themes we identified for that special issue was "the role of infrastructure in shaping community" (Jensen, Seatter, and Winter).This year, we again observed the many ways that digital platforms and tools continued both to facilitate and to constrain connections between members of our dispersed networks.However, we were also struck by an apposite idea advanced during at least two of DHSI's Institute Lectures: digital infrastructure does connect people, but it may also be true that "infrastructure is people," as Leslie Chan remarked during his talk, "Is Open Scholarship Possible without Open Infrastructure?" (Chan; emphasis added).Chan's statement might conjure up images of precarious human pyramids or other acrobatic formations; more helpfully, and perhaps more to his point, we would argue that it serves as a helpful and necessary reminder of the human ingenuity, expertise, labour, and relationships that go into the creation and maintenance of digital infrastructure of any kind-of the tendency of infrastructure to be reliant on human factors.Chan illustrated this point with an image that, he noted, would likely resonate with many of us; indeed, some of us may identify with the lone researcher whose legacy project supports shaky digital infrastructure (Figure 1).For better or worse, then, we would echo Chan in asserting that if "infrastructure is people," it is also true that "infrastructure is relational."The question, perhaps, is how one can foster and maintain the human relationships that comprise digital infrastructure, ideally ensuring the long-term health and positive evolution of each.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.899
Threshold uncertainty score1.000

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)0.0040.001

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 head0.015
GPT teacher head0.237
Teacher spread0.222 · 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