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Record W4404492912 · doi:10.1080/13803611.2024.2424351

Learning outcomes as perceived enjoyment in studying accounting – personal & environmental factors

2024· article· en· W4404492912 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.

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

Bibliographic record

VenueEducational Research and Evaluation · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting Education and Careers
Canadian institutionsUniversity of the Fraser Valley
Fundersnot available
KeywordsPsychologySocial psychologyApplied psychologyAccountingBusiness

Abstract

fetched live from OpenAlex

Accounting-majored students in their final year of university program understand that they still have a long journey of both work and rigorous studies before earning their professional accounting designation. Even though the literature examines various factors, such as accountants’ job status and lifestyle affecting students’ self-efficacy, we argue that the perceived and persistent intrinsic passion of studying accounting as enjoyment becomes an important expected outcome from a high level of self-efficacy. Using survey questionnaires, this study explores what and how qualities of personal and environmental factors influence students’ enjoyment to remain self-motivated. As expected, empirical results exhibit that some personal factors have larger positive impacts in shaping accounting students’ level of enjoyment. Also, there are systematic differences in certain environmental factors that influence students’ enjoyment of studying accounting between a North American small university and an Asian large university.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.149
GPT teacher head0.410
Teacher spread0.261 · 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