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Record W2584062392 · doi:10.1080/15283488.2016.1268961

Identity Problems, Ego Strengths, Perceived Stress, and Adjustment During Contextual Changes at University

2017· article· en· W2584062392 on OpenAlexaffabout
Barbara M. Gfellner, Ana Isabel Córdoba Iñesta

Bibliographic record

VenueIdentity · 2017
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsBrandon University
Fundersnot available
KeywordsPsychologyPsychosocialStressorContext (archaeology)PerceptionErikson's stages of psychosocial developmentIdentity (music)Developmental psychologySocial psychologyMaturity (psychological)Personal identityId, ego and super-egoStress (linguistics)Self-conceptClinical psychologyPsychotherapist

Abstract

fetched live from OpenAlex

We present a 2-year time-lag study in which Canadian and Spanish students’ perceptions of stress, identity problems, and psychosocial maturity (ego strengths) were examined in relation to academic, social, and personal-emotional adjustment to university under different conditions of macro-environmental disruption (i.e., academic and economic) and no disruption (stability). In the academic disturbance context, students reported increased stress and the economic disruption situation was associated with greater identity problems. The expected relationships were found among the variables in the study. Students reported greater social maladjustment at university related to economic disruption in comparison with the academic and no disruption contexts. Ego strengths moderated the relationship between perceived stress with academic and social adjustment, respectively. In other words, delayed psychosocial development in conjunction with high perceived stress was associated with deficient academic and social functioning at university. The findings are considered in terms of psychosocial development and the role of proximal and distal perception of stressors in the functional well-being of university students.

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)0.002
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 score0.082
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.303
Teacher spread0.277 · 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

Citations16
Published2017
Admission routes2
Has abstractyes

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