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Record W3006364019 · doi:10.1111/sjop.12625

The interface of identity distress and psychological problems in students’ adjustment to University

2020· article· en· W3006364019 on OpenAlexaffabout
Barbara M. Gfellner, Ana Isabel Córdoba Iñesta

Bibliographic record

VenueScandinavian Journal of Psychology · 2020
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsBrandon University
Fundersnot available
KeywordsPsychologyDistressIdentity (music)Psychological distressContext (archaeology)Mental healthEmotional distressClinical psychologySocial psychologyDevelopmental psychologyAnxietyPsychiatry

Abstract

fetched live from OpenAlex

Identity distress, psychological symptoms, and adjustment to university (academic, social, and person‐emotional) were examined among students in Spain ( N = 241; M age = 19.0 (1.6), Md = 19; 84% female) and Canada ( N = 531; M age = 19.8 (2.2), Md = 19; 82% female). The expected positive relationships were found between these variables. Similarly, increased identity distress of Spanish students and greater maladjustment at university for those in Canada were associated with contextual differences in the respective environments. Psychological problems mediated the linkages between identity distress with academic, social, and person‐emotional functioning at university, respectively. Also, psychological problems and context/country were independent predictors of students’ identity distress. Findings underscore the importance of examining contextual factors that influence student adjustment to university in relation to identity development and mental health and they offer suggestions for further research and counseling services.

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 score0.065
Threshold uncertainty score0.453

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 studies0.0000.000
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 head0.051
GPT teacher head0.409
Teacher spread0.357 · 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

Citations20
Published2020
Admission routes2
Has abstractyes

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