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Record W3162388738 · doi:10.5539/res.v13n2p122

Investigating the Effects of Sociodemographic Characteristics on Psychological Factors That Impact on Educational Process of Adult Learners in Second Chance Schools in Greece

2021· article· en· W3162388738 on OpenAlexvenueno aff
Georgia Karakitsiou, Anna Tsiakiri, Katerina Kedraka

Bibliographic record

VenueReview of European Studies · 2021
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsShamePsychologyFeelingAnxietyPsychological interventionDepression (economics)Clinical psychologyProcess (computing)Developmental psychologySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

The present study deals with the influence of various psychological factors faced by adults during the educational process at Second Chance Schools in Greece. We studied how the feelings of shame, anxiety and depression were associated with the demographic characteristics of the adult learners of these schools. Ninety-five trainees took part in the research whose results indicated that socio-demographic characteristics have an impact on psychological factors that can contribute to the educational process of adult learners. Sex and marital status were related to the feeling of shame (especially the body shame) and this may be an inhibitory factor to initial integration in or continuation with the studies in SCSs. Single and employed individuals were less vulnerable to development of depression and anxiety disorders, which has been found to have a negative effect on academic achievement. Based on such aspects, counseling approaches and interventions could be designed and implemented by Counselors Psychologists to improve the counseling services provided by the SCSs.

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)0.001
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 score0.025
Threshold uncertainty score0.380

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0000.000
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 head0.092
GPT teacher head0.431
Teacher spread0.339 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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