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Record W3214559240

Mothering During the COVID-19 Pandemic

2021· article· en· W3214559240 on OpenAlexaff
Christine Zolondek

Bibliographic record

VenueStudent Research Proceedings · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsMacEwan University
Fundersnot available
KeywordsPandemicCoronavirus disease 2019 (COVID-19)Face (sociological concept)Work (physics)InequalityHealth careSociologyEconomic growthPolitical scienceGender studiesMedicineSocial scienceLawEconomics
DOInot available

Abstract

fetched live from OpenAlex

The World Health Organization declared COVID-19 as a global pandemic on March 11th, 2020, and ever since, our world has been turned upside down: replacing “ordinary life” with chaos, uncertainty, and fear. The widespread lockdown measures and closures of schools and daycares mid-March created a crisis of care, where formal and informal care arrangements have been upended, which has left many families on their own to resolve this issue. Since historically, women have shouldered the heaviest weight of the child care burden, and earn on average less than their male counterparts, it has become women and their work that have seen dramatic impacts, including being the ones to step back from their careers to assume the full-time responsibilities during the pandemic. Given the barriers they already face under normal circumstances, the question becomes how have mothers been impacted by the added strain involved with child care, homeschooling and navigating paid work following the pandemic? How will this crisis shed light on the inequalities that persist, namely the cultural expectations for mothers, and gendered norms embedded in carework? Department: Honours Sociology Faculty Mentor: Dr. Joanne Minaker

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)0.005
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.620
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
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 head0.231
GPT teacher head0.490
Teacher spread0.258 · 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; a candidate call from one teacher head, not a consensus.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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