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Record W7162349425

Raising awareness among primary school pupils to promote social justice : a group psychoeducational program

2025· other· el· W7162349425 on OpenAlexaboutno aff
Μαρία Ζαχαροπούλου

Bibliographic record

VenueΝημερτής · 2025
Typeother
Languageel
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsEmpathyRaising (metalworking)Social justiceConsciousness raisingEconomic JusticeXenophobia
DOInot available

Abstract

fetched live from OpenAlex

Στην παρούσα διπλωματική εργασία διερευνήθηκε η αποτελεσματικότητα ενός ψυχοεκπαιδευτικού προγράμματος 5 συναντήσεων για την προαγωγή της κοινωνικής δικαιοσύνης απέναντι στους πρόσφυγες σε παιδιά ηλικίας 10-11 ετών. Στην έρευνα συμμετείχαν 22 παιδιά, 11 στην ομάδα παρέμβασης και 11 στην ομάδα ελέγχου. Για τη συλλογή των δεδομένων αξιοποιήθηκαν πέντε κλίμακες (The Toronto Empathy Questionnaire, Spreng, R.N., McKinnon, M.C., Mar, R.A. & Levine, B., 2009. Attitudes and Empathy towards Refugees, Turner & Brown, 2008. Tolerance and Xenophobia Scale- TXS, Van Zalk, Kerr, Van Zalk & Stattin, 2013.Social Justice Scale (SJS), Susan et al., 2011.Altruistic Behavior-Elementary-Developmental Studies Center, Oakland). Τα αποτελέσματα της στατιστικής ανάλυσης έδειξαν πως η παρέμβαση είχε θετική επίδραση ως προς τις στάσεις των μελών απέναντι στην κοινωνική δικαιοσύνη, στον αντιλαμβανόμενο ρόλο συμπεριφοράς, στις προσθέσεις τους για την κοινωνική δικαιοσύνη και στη μείωση της ξενοφοβίας, ενώ οι δείκτες της ενσυναίσθησης και της αλτρουιστικής συμπεριφοράς δεν παρουσίασαν κάποια στατιστικώς σημαντική διαφορά. Τα ευρήματα υποδεικνύουν την αναγκαιότητα περαιτέρω διερεύνησης της αποτελεσματικότητας ψυχοεκπαιδευτικών παρεμβάσεων για την κοινωνική δικαιοσύνη, με μεγαλύτερο δείγμα και επαναληπτικές μετρήσεις (follow-up).

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0020.001
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.031
GPT teacher head0.367
Teacher spread0.335 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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