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Record W4221037142 · doi:10.3389/fpsyg.2022.742265

Closeness to God, Spiritual Struggles, and Wellbeing in the First Year of College

2022· article· en· W4221037142 on OpenAlexaff
Madison Kawakami Gilbertson, Shannon T. Brady, Tsotso Ablorh, Christine Logel, Sarah A. Schnitker

Bibliographic record

VenueFrontiers in Psychology · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsUniversity of Waterloo
FundersNational Science Foundation of Sri LankaRaikes FoundationNational Science Foundation
KeywordsClosenessPsychologySocial psychologyPsychoanalysis

Abstract

fetched live from OpenAlex

Spirituality is an important, but oft-overlooked, aspect of the self that may affect college students' wellbeing and belonging. Few studies have systematically examined closeness to God and spiritual struggles as predictors of college student wellbeing during early college, which is a critical window for identity development. Moreover, research exploring interactions between spiritual struggles and closeness to God in predicting wellbeing outcomes is scarce. We address these gaps in the literature with an analytic sample comprised of 839 first-year college participants who identify as religious. The results of correlational analyses and linear mixed effect models are presented. Closeness to God was associated with greater wellbeing and belonging, and spiritual struggles were associated with lower wellbeing and belonging. In exploratory analyses, a moderating effect of closeness to God on the relation between spiritual struggles and negative outcomes was observed. Implications for higher education and college student development 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.

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)0.008
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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.333
Teacher spread0.311 · 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

Citations17
Published2022
Admission routes1
Has abstractyes

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