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Record W2575687406 · doi:10.1177/1521025116688905

Dispositional Mindfulness and Adjustment to University

2017· article· en· W2575687406 on OpenAlexaff
Jessica Mettler, Dana Carsley, Mélanie Joly, Nancy L. Heath

Bibliographic record

VenueJournal of College Student Retention Research Theory & Practice · 2017
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsMcGill University
Fundersnot available
KeywordsMindfulnessPsychologySocial supportClinical psychologyDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

The transition to university is a stressful period for young adults; however, there has been limited research examining the predictive role of dispositional mindfulness in supporting first-year students’ adjustment to university. The current study sought to examine the relative contribution of gender, self-efficacy, perceived social support from friends and family, and dispositional mindfulness to domains of university adjustment (academic, social, personal or emotional, and institutional attachment). The sample consisted of 101 first-year university students (73% female; M = 18.20 years, SD = 0.79) and all data were collected using an online survey. Findings revealed dispositional mindfulness significantly predicted university adjustment even when controlling for self-efficacy and perceived social support. The present study is the first to provide empirical support for the protective role of dispositional mindfulness in university adjustment.

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)0.007
metaresearch head score (Gemma)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.880
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.068
GPT teacher head0.450
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 designTheoretical or conceptual
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

Citations43
Published2017
Admission routes1
Has abstractyes

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