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Record W4321640282 · doi:10.1016/j.sheji.2022.09.001

Scale, Scope, Speed: Reflections on a Multi-site Covid-19 Study

2022· article· en· W4321640282 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueShe ji · 2022
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsNorth York General Hospital
FundersAgency for Healthcare Research and QualityUniversity of MichiganHarvard UniversityRobert Wood Johnson FoundationBill and Melinda Gates Foundation
KeywordsScope (computer science)Context (archaeology)SituatedScale (ratio)Coronavirus disease 2019 (COVID-19)Public sectorPublic healthPublic relationsData scienceKnowledge managementComputer sciencePolitical scienceMedicineNursingGeographyArtificial intelligence

Abstract

fetched live from OpenAlex

Designers have a unique role to play in public health, but their involvement requires an examination their practices and methods for their fit with this new context. This article reflects on the experiences of a multi-site design team collaborating across the US and Canada to explore early-stage Covid-19 patient recovery experiences. A unique feature of this project is that it was conceived of, led by, and executed by designers situated in health systems and health research units working in diverse geographies to jointly investigate a public health phenomenon at a broad scale. We discuss three challenges to design practice encountered in this context—scale, scope, and speed. Lastly, we draw from the design teams’ cross-sector expertise to pose key questions for design as it migrates to the public health sector. • Design’s value to healthcare and public health is in increasingly demand. • Public health initiatives bring changes in scale, scope and speed for which design practices may not yet be optimized. • Design for public health research offers an emerging domain for new design knowledge. • Adapting the design skill set and toolset to fit public health is a frontier of practice.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient 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: Empirical
Teacher disagreement score0.412
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0060.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.003

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 head0.798
GPT teacher head0.743
Teacher spread0.055 · 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