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Canadian Dental Students’ Perceptions of Their Learning Environment and Psychological Functioning Over Time

2006· article· en· W2289580918 on OpenAlexaffabout
Donald Stewart, Johann de Vries, David Singer, Gene G. Degen, Pamela Wener

Bibliographic record

VenueJournal of Dental Education · 2006
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPsychologyAnxietyPerceptionCoping (psychology)HostilityChecklistClinical psychologySelf-esteemPsychiatry

Abstract

fetched live from OpenAlex

A cohort of dental students (N=28) at the University of Manitoba was followed throughout their entire dental education program to explore changes in their perceptions of the learning environment over time. Aspects of the students'psychological functioning, including common psychological symptoms, self-esteem, and coping strategies, were also evaluated to assess changes in these factors over time. A battery of instruments consisting of the Learning Environment Survey (LES), the Symptom Questionnaire (SQ), the Ways of Coping Checklist (WCCL), and the State Self-Esteem Scale (SSES) was administered at the beginning, midpoint, and end of each academic year throughout the four-year dental education program. Results indicated that there was a minor positive recalibration of student perceptions in the areas of course relevance and opportunities for outside interests during the first months of year one. Apart from this, perceptions of dental school as a seldom-to-occasionally positive learning environment were maintained over the entire dental education program. In terms of psychological functioning over time, students reported decreases in their levels of problem-focused coping and self-esteem, increased use of avoidance and wishful thinking as coping strategies, and more anxiety, depression, and hostility at various points. Some implications of these findings for dental education are discussed.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.998

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.410
Teacher spread0.382 · 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.

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

Citations60
Published2006
Admission routes2
Has abstractyes

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