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Record W7006405826

The transition from high school to university: Correlates of occupational performance and satisfaction to adjustment to university

2017· article· en· W7006405826 on OpenAlexaboutno aff

Bibliographic record

VenueCommonKnowledge Research Repository (Pacific University Oregon) · 2017
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Adaptation (eye)Public universityPopulationMental healthQuality (philosophy)Sample (material)
DOInot available

Abstract

fetched live from OpenAlex

The transition from high school to university can be an exciting time, but some students may have difficulty with the new context of university. Students who do not adapt well to university may be at risk for mental health concerns and/or dropping out of school; both of which can impact their lifetime earning potential and quality of life. University support services are overwhelmed and unable to provide services for all the needs that are found on campus. As a result, students may find excessive wait times for services or may not seek services at all. A student’s occupational performance (OP) may impact their adaptation to university, but little research looks at the occupations of university students or how it relates to their adaptation to university. In addition, most of the research on the OP of students looks at those with an identified disability. This study looks at the OP and performance satisfaction (PS) of a general population of university students and correlates it to adaptation to university. The Canadian Occupational Performance Measure (COPM) and the Student Adaptation to College Questionnaire (SACQ) were administered to a sample of students who attend a Midwestern, public university to explore OP and PS and their adaptation to university. The overall mean self-perceived OP score was 30.23 (SD=7.19) and PS score was 27.51 (SD =7.79) among the sample. Descriptive statistics indicated that time management (n=51), making new friends (n=43), and sleep (n=39) were the three most commonly reported OP deficits among this sample. Productivity had the most reported deficits (175 mentions over 34 deficits). Preliminary exploratory analysis uncovered that students who had higher scores in OP had higher scores that were statistically significant in social adjustment (r= 0.25, p=0.02) and personal emotional adjustment (r=0.25, p=0.02). Also, higher scores in PS demonstrated a statistically significant correlation with higher scores in academic adjustment (r=0.24, p=0.02), social adjustment (r=0.23, p=0.03), and personal emotional adjustment (r=0.30, p=.01). This study can provide a foundation for the exploration of occupation as it relates to the adaptation of university students to university and into adulthood. The impact of a poor transition on the life trajectory of a student should not be underestimated and further exploration of the OP and PS of transitioning university students can inform screening systems and services for individuals who are “at risk” of dropping out of school and/or who may experience mental health concerns.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.094
GPT teacher head0.398
Teacher spread0.304 · 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 source (direct Gemma or distilled Codex), 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
Published2017
Admission routes1
Has abstractyes

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