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Record W4281628850 · doi:10.1177/0192513x221105247

COVID-19 attributed Changes of Home and Family Responsibilities among Single Mothers

2022· article· en· W4281628850 on OpenAlexaff
Lisbeth A. Pino Gavidia, Hoda Seens, James Fraser, Marudan Sivagurunathan, Joy C. MacDermid, Laura Brunton, Samantha Doralp

Bibliographic record

VenueJournal of Family Issues · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsSt Joseph's Health CareWomen's College HospitalUniversity of GuelphUniversity of WindsorWestern University
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakTest (biology)PsychologyFamily memberSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Developmental psychologyMedicineFamily medicineVirology

Abstract

fetched live from OpenAlex

Lockdown measures during COVID-19 have presented increased challenges in the home and family responsibilities. Single mothers may face unique challenges as they may be isolated from external family supports. Changes on a 19-item home and family work role survey pre- and post-COVID were tested with a paired t-test and sign test; the impact of age and people in the home was assessed using linear regression. There was a significant increase (p < 0.05) in 6/19 post-COVID-19 family responsibilities. In comparison to pre-COVID-19, post-COVID-19 single mothers reported a statistically significant median increase in family responsibilities (Mdn = .0000), p < .041. Each additional person living in the home was associated with a decrease in family responsibilities (B = -13.1, 95% CI [-21.943, -4.247]). Changes in the home and family responsibilities confirm that COVID-19 led to increased unpaid work to fulfill home and family responsibilities among single mothers.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.195
Threshold uncertainty score0.678

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.080
GPT teacher head0.343
Teacher spread0.264 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations9
Published2022
Admission routes1
Has abstractyes

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