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Record W4381857246 · doi:10.1177/21676968231185171

How Psychological Symptoms Mediate Perceived COVID-19 Stress and Identity Distress in Emerging Adults

2023· article· en· W4381857246 on OpenAlexaffabout
Barbara M. Gfellner, Ana Isabel Córdoba Iñesta

Bibliographic record

VenueEmerging Adulthood · 2023
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsBrandon University
Fundersnot available
KeywordsDistressPsychologyStressorPsychological distressMental healthIdentity (music)Coronavirus disease 2019 (COVID-19)Clinical psychologyPandemicDevelopmental psychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

The global pandemic has been associated with substantial elevation in mental health problems among emerging adults. In this study, we examined psychological symptoms in relation to perceived COVID-19 stress and disturbances with identity development (identity distress) among university students in Canada and in Spain during the second wave of the pandemic. Spanish students indicated greater identity distress than their Canadian counterpart, and they reported higher perceived COVID-19 stress. The predicted associations were supported among perceived COVID-19 stress, psychological symptoms, and identity distress for both groups, and psychological symptoms mediated the linkage between perceived COVID-19 stress and identity distress. These results underscore the enduring influence of psychological symptoms in relation to perceived COVID-19 stressors and identity development with implications for other serious contextual events and suggestions for student support and clinical intervention.

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)0.001
metaresearch head score (Gemma)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.047
GPT teacher head0.419
Teacher spread0.372 · 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
Published2023
Admission routes2
Has abstractyes

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