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Record W3162386360 · doi:10.31234/osf.io/msxar

Stress and Stress-induced Glucocorticoids Facilitate Empathic Accuracy in Men, with no Effects for Women

2021· preprint· en· W3162386360 on OpenAlexaff
Jonas P. Nitschke, Jens C. Pruessner, Jennifer A. Bartz

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsMcGill University
Fundersnot available
KeywordsEmpathyTrier social stress testPsychologyFeelingStress (linguistics)CognitionGlucocorticoidSalience (neuroscience)Developmental psychologyClinical psychologySocial stressFight-or-flight responseCognitive psychologySocial psychologyMedicineInternal medicineNeuroscience

Abstract

fetched live from OpenAlex

Empathy, the ability to understand what others are feeling, is critical for social connection and navigating our social world. We investigated the effects of acute stress on cognitive empathy. Given that acute stress, and resulting increased glucocorticoid, triggers a shift in two large-scale brain networks, prioritizing the salience over the executive control network, we predicted that stress would facilitate empathic accuracy (EA). We also investigated the effect of gender/sex, given evidence of differential stress reactivity. Results from two independent studies (N= 267; 2,256 observations) showed that acute stress facilitated EA for men, an effect that was partly driven by their glucocorticoid response. Conversely, stress had no effect for women, who also slowed a blunted cortisol response. Moreover, exploratory analyses revealed that women taking oral contraceptives, in general, performed worse on the EA task than regularly cycling women. This research highlights the important, but complex, role of stress in cognitive empathy.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0060.001

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 head0.037
GPT teacher head0.293
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2021
Admission routes1
Has abstractyes

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