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Record W2135893443 · doi:10.5539/jedp.v2n1p69

Chronic Stress and Its Consequences on Subsequent Academic Achievement among Adolescents

2012· article· en· W2135893443 on OpenAlexvenueno aff
Karin Schraml, Aleksander Perski, Giorgio Grossi, Irena Makower

Bibliographic record

VenueJournal of Educational and Developmental Psychology · 2012
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsnot available
FundersLänsförsäkringar
KeywordsChronic stressStress (linguistics)PsychologyClinical psychologyDevelopmental psychologyMedicine

Abstract

fetched live from OpenAlex

Chronic stress has been associated with severe stress-related symptoms not only among adults but also among adolescents. The aim of the study was to investigate if chronic stress has implications for adolescents’ academic achievement. 270 high school students answered a questionnaire on stress symptoms on two occasions, at the beginning and at the end of high school. Those who perceived severe stress symptoms at both time points finished high school with significantly worse final grades than those who reported experiencing stress at only one or none of the time points. The risk for chronic stress was increased among adolescents with low global self-esteem, who perceived high demands and reported their self-rated health to be poor and their sleep duration to be insufficient. The results suggest that the early prevention of chronic stress is critical since, if left untreated, it can have serious consequences on young people’s future health and career possibilities.

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)0.002
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.051
GPT teacher head0.372
Teacher spread0.322 · 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

Citations63
Published2012
Admission routes1
Has abstractyes

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