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A Typology of Dental Students According to Their Experience of Stress: A Qualitative Study

2010· article· en· W2189172733 on OpenAlexafffundabout
Haissam Dahan, Christophe Bedos

Bibliographic record

VenueJournal of Dental Education · 2010
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsUniversité de MontréalMcGill University
FundersCanadian Institutes of Health Research
KeywordsWorkloadCoping (psychology)PsychologyQualitative researchTypologyCurriculumMedical educationStress (linguistics)Mental healthClinical psychologyMedicinePedagogyPsychiatrySociologyComputer science

Abstract

fetched live from OpenAlex

Dental students often report high levels of stress. Even though many studies have been conducted on this issue, we still lack a global understanding of how dental students experience and deal with stress, making it difficult for dental educators to improve this situation. Consequently, our study aimed to understand in a comprehensive manner how dental students experience stress. We conducted a qualitative research study based on in-depth one-on-one interviews with twelve recent graduates from a Canadian dental school. The interviews were recorded and transcribed verbatim. We then analyzed the transcripts in a process that included coding, displaying, and interpreting data. We identified three types of students: highly stressed, moderately stressed, and relaxed students. Relaxed students reported very low levels of stress, which they dealt with by using good coping skills. Moderately stressed students were more affected, but they considered stress as acceptable and even helpful as it pushed them to perform better and succeed. Finally, highly stressed students showed alarming levels of stress and described it as "crippling" and "unmanageable." They felt helpless and explained that stress had negative repercussions for their physical and mental health as well as their social life. They related stress to fear of failing, heavy workload, and difficulties in dealing with transitions in the curriculum and sometimes to difficult relationships with the academic staff. They dealt with stress by using poor coping skills. It is crucial to help highly stressed students by both reducing their sources of stress and helping them develop appropriate coping strategies.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.471
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
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 head0.074
GPT teacher head0.570
Teacher spread0.496 · 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 designQualitative
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

Citations84
Published2010
Admission routes3
Has abstractyes

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