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Record W4290630217 · doi:10.19088/1968-2022.129

The Distances that the Covid-19 Pandemic Magnified: Research on Informality and the State

2022· article· en· W4290630217 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

VenueIDS Bulletin · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCOVID-19 Pandemic Impacts
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPandemicMisinformationCoronavirus disease 2019 (COVID-19)Informal sectorOpenAccessWork (physics)Public relationsCommonsState (computer science)SociologySet (abstract data type)Vulnerability (computing)Field (mathematics)Political scienceEconomic growthLivelihoodComputer securityGeographyEngineeringComputer scienceMedicineLawEconomics

Abstract

fetched live from OpenAlex

What does research on informal sector workers and the state entail in the time of Covid-19? The pandemic has limited possibilities for in-person interactions and required adaptations in research approaches. These challenges are exacerbated when the subjects of the research are informal sector workers with limited access to technology and undefined spaces of work. In this article, we argue that the Covid-19 pandemic has magnified distances: between researchers located globally; between researchers and respondents; and between the state and people within informal employment. However, these distances also create new ways of working and opportunities for doing research. We discuss the challenges faced in the field, document the adaptations introduced to ensure robust research in difficult settings, and set out the limitations that remain. We also examine the ethical dimension of confronting dangerous misinformation related to the pandemic while conducting interviews, and the questions it raises about the distance between research and prescriptive advocacy in academia.

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)0.016
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.612
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.181
GPT teacher head0.349
Teacher spread0.168 · 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