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Record W4210403524 · doi:10.14307/jfcs113.4.8

An Untenable Workload: COVID- 19 and the Disproportionate Impact on Women's Work-Family Demands

2021· article· en· W4210403524 on OpenAlexaffabout
Rachael N. Pettigrew

Bibliographic record

VenueJournal of Family & Consumer Sciences · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsMount Royal University
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)PandemicGovernment (linguistics)WorkloadWork (physics)Distancing2019-20 coronavirus outbreakFace masksFace (sociological concept)Public relationsSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Economic growthPsychologyMedical educationBusinessPolitical scienceSociologyMedicineEngineeringManagementEconomics

Abstract

fetched live from OpenAlex

In January 2020, the novel coronavirus (COVID-19) emerged as a global concern and was declared a pandemic by the World Health Organization (WHO) on March 11, 2020 (WH0, 2020). The Canadian government responded with directives encouraging people to wear masks and practice physical distancing, along with a shelter-in-place order implemented mid-March (Terry, 2020). Employers scrambled to respond with new workfrom-home policies and universities were expeditiously transitioned from face-to-face course delivery to online delivery. Primary and secondary schools and childcare facilities also closed mid-March per the government directives (Franklin, 2020). These unprecedented events resulted in employees working from home (if feasible) and professors and students transitioning to online classes, thus having to adapt to new technology (See et al., 2020) while parenting and home-schooling children.

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.

How this classification was reachedexpand

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.004
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.046
GPT teacher head0.358
Teacher spread0.312 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations13
Published2021
Admission routes2
Has abstractyes

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