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Record W2467034128 · doi:10.5539/ijef.v8n7p201

Investigating the Financial Awareness and Behaviors of Veterinary Medical Students

2016· article· en· W2467034128 on OpenAlexvenueno aff
Amy M. Snyder, Kenneth D. Royal

Bibliographic record

VenueInternational Journal of Economics and Finance · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPsychology of Social Influence
Canadian institutionsnot available
Fundersnot available
KeywordsDebtConscientiousnessFinanceFinancial planValue (mathematics)Sample (material)Financial managementCashPsychologyBusinessMedical educationMedicinePersonalityBig Five personality traitsSocial psychologyExtraversion and introversion

Abstract

fetched live from OpenAlex

<p>A sample of veterinary medical students were administered a modified version of the Financial Fitness Quiz (FFQ) to gain insights about current veterinary students money management behaviors (e.g., developing financial goals, having a spending plan, accumulating savings, etc.). Results demonstrate students possess a general awareness and conscientiousness toward personal finance. In some cases, veterinary students engaged in positive financial behaviors at a higher rate than average consumers in the United States, and most reported having more cash on hand to cover an emergency than average consumers in the United States. While students generally appear to understand the negative impact of debt, results indicate most students do not fully appreciate the value of personal budgeting or annual calculations of net worth.</p>

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.276
Threshold uncertainty score0.277

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.050
GPT teacher head0.385
Teacher spread0.335 · 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 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

Citations0
Published2016
Admission routes1
Has abstractyes

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