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Record W2032397649 · doi:10.3138/jvme.33.3.432

Predictors of Depression and Anxiety in First-Year Veterinary Students: A Preliminary Report

2006· article· en· W2032397649 on OpenAlex

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Veterinary Medical Education · 2006
Typearticle
Languageen
FieldHealth Professions
TopicVeterinary Practice and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAnxietyDepression (economics)Mental healthMedicineEpidemiologyIntervention (counseling)Center for Epidemiologic Studies Depression ScalePsychologyPsychiatryClinical psychologyVeterinary medicineDepressive symptomsInternal medicine

Abstract

fetched live from OpenAlex

Historically, veterinary medical students' mental health has rarely been investigated, but recently there has been renewed interest in this topic. The present study evaluated depression and anxiety levels in a cross-sectional investigation of 93 first-year veterinary medical students enrolled at Kansas State University (KSU). During their first semester, students completed the Center for Epidemiological Studies Depression Scale (CES-D) and the Mental Health Inventory's Anxiety Scale (MHI-A). Results indicate that 32% of these first-year KSU veterinary students were experiencing clinical levels of depressive symptoms. Additionally, students reported elevated anxiety scores. Predictors of depression and anxiety levels include homesickness, physical health, and unclear instructor expectations. Areas of intervention with a focus on improving veterinary medical student well-being 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.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.066
Threshold uncertainty score0.589

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.145
GPT teacher head0.497
Teacher spread0.352 · 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