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Record W4211080399 · doi:10.1177/09500170211069806

‘You Can’t Eat Soap’: Reimagining COVID-19, Work, Family and Employment from the Global South

2022· article· en· W4211080399 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

VenueWork Employment and Society · 2022
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsLocalityWork (physics)Global SouthResource (disambiguation)Coronavirus disease 2019 (COVID-19)InequalityDistancingSociologySocial distancePublic relationsPolitical scienceGeographyEconomic geographyMedicineEngineering

Abstract

fetched live from OpenAlex

This article problematises the assumptions regarding work, family and employment that underlie the World Health Organization (WHO)’s COVID-19 guidelines. The scientific evidence grounding sanitary and social distancing recommendations is embedded in conceptualisations of work as skilled jobs in the formal economy and of family as urban and nuclear. These are Global North rather than universal paradigms. We build on theories from the South and an intersectional analysis of gender and class inequalities to highlight contextual complexities currently neglected in responses to COVID-19. We argue that building on both science and local knowledge can help democratise workable solutions for a range of different work, family and employment realities in the Global South. Finally, we propose a research agenda calling for strengthened North–South dialogue to provincialise knowledge, account for differences in histories, locality and resource-availability, and foster greater local participation in policy formulation regarding sanitary measures and vaccination campaigns.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.000
Scholarly communication0.0000.000
Open science0.0000.002
Research integrity0.0000.001
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 head0.068
GPT teacher head0.362
Teacher spread0.294 · 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