MétaCan
Menu
Back to cohort

Experiences of Academic Stress and Coping Mechanisms in High-Achieving Students

2024· article· en· W4406279189 on OpenAlex
Daniela Gottschlich, Neda Atapour

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueKMAN Counseling and Psychology Nexus · 2024
Typearticle
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPsychologyCoping (psychology)Stress (linguistics)Clinical psychologyPhilosophy

Abstract

fetched live from OpenAlex

The primary objective of this study was to explore the experiences of academic stress and the coping mechanisms employed by high-achieving students. The research aimed to identify key sources of stress, understand how these students manage their stress, and evaluate the impact of stress on their academic performance and overall well-being. This qualitative study utilized semi-structured interviews to collect data from 21 high-achieving students at a prestigious university. Participants were selected based on their high academic performance and involvement in extracurricular activities. Data analysis was conducted using NVivo software, following a thematic approach to identify recurring themes and patterns. Theoretical saturation was achieved, ensuring comprehensive coverage of the participants' experiences. The study identified several key sources of academic stress, including high expectations, heavy workload, time management challenges, peer competition, and lack of resources. Coping mechanisms employed by students included effective time management strategies, seeking social support, engaging in self-care practices, obtaining professional help, and making academic adjustments. The impact of academic stress was profound, affecting students' mental and physical health, academic performance, social relationships, personal development, motivation, and sleep patterns. The findings align with existing literature, highlighting the complex nature of academic stress and the diverse coping strategies used by students. High-achieving students experience significant academic stress due to various sources, which can negatively impact their well-being and academic performance. However, effective coping mechanisms and support systems can mitigate these effects. Institutions should develop comprehensive support systems, provide adequate resources, and foster a supportive academic environment to help students manage stress. Further research is needed to explore the role of individual differences and to develop targeted interventions for reducing academic stress among high-achieving students.

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.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score0.660

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.028
GPT teacher head0.397
Teacher spread0.369 · 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