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Record W4412161773 · doi:10.1037/dev0001995

COVID-19 pandemic stress and child adjustment: Examining the moderating role of mothers’ and fathers’ pandemic conversational style.

2025· article· en· W4412161773 on OpenAlexaff
Jennifer G. Bohanek, Cory R Platts, Madeline M. Patrick, Nanxi Xu, Tara Lottes, Evan Reichard, Amanda Bennett, Anna Blue, Halley Felty, Ashley M. Groh

Bibliographic record

VenueDevelopmental Psychology · 2025
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsImpact
FundersUniversity of Missouri
KeywordsPsychologyPandemicCoronavirus disease 2019 (COVID-19)Developmental psychologyStyle (visual arts)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)VirologyMedicine

Abstract

fetched live from OpenAlex

= 4.59 years, 58.9% male), mothers and fathers separately discussed their child's biggest challenge and most positive pandemic experience. Conversations were coded for frequency of internal states' language and parental level of elaboration. Results indicate that mothers', but not fathers', highly elaborative style when discussing their child's biggest challenge and most positive pandemic experiences mitigated the association between families' COVID-19 pandemic stress and children's externalizing problems. These findings have implications for future parenting and intervention work, and highlight the importance of considering parent gender, conversational style, and conversational valence in understanding the mechanistic role parent-child conversations play in buffering children from pandemic stressors. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.597

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.378
Teacher spread0.332 · 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 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
Published2025
Admission routes1
Has abstractyes

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