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Record W3005863544

KANADALI VE TÜRK ÜNİVERSİTE ÖĞRENCİLERİNİN ÖZ ANLAYIŞ, MERHAMET VE DUYGUSAL ZEKALARININ KARŞILAŞTIRILMASI

2019· article· tr· W3005863544 on OpenAlexaboutno aff
Seray Sağinda Yazicioğlu

Bibliographic record

VenueUluslararası Türk Kültür Coğrafyasında Sosyal Bilimler Dergisi · 2019
Typearticle
Languagetr
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePsychologyPedagogyArt
DOInot available

Abstract

fetched live from OpenAlex

Bu arastirma sosyo-demografik o zelliklere g o re Kanadali ve Turk universite ogrencilerinin o z anlayis, duygusal zeka ve merhamet duygularinin arasinda fark olup olmadigini arastirmaktadir . Arastirma 10 yildan fazla suredir egitim gordukleri ulkede yasamak kosuluna bakilarak; Kanada’da ve Turkiye’de egitim goren  universite  ogrencileri arasinda yapilmistir . Arastirmada Kanadali ogrencilere uygulama yapilirken Oz Anlayis ol c egi, Duygusal Zeka Ol c egi, Merhamet o l c eklerinin yabanci versiyonlari kullanilmistir. Turkiye’de ise Tuk c eye adapte edilmis , ge c erliligi ve guvenirligi yapilmis ol c eklerin Turk c e versiyonlari kullanilmistir. Arastirma analizlerinde T-testi, Korelasyon analizi, Cok y o nlu varyans analizi ve Manova y o ntemi kullanilmistir. Arastirma bulgulari Turk universite ogrencilerinin o z anlayis duzeylerinin, Kanadali universite ogrencilerinin o z anlayis duzeylerinden daha yuksek oldugu y o nundedir. Aralarindaki fark istatiksel acidan anlamli bulunmustur. U niversite ogrencilerinin duygusal zeka o l c egi alt o l c egi olan sosyallik ulkeye g o re farklilasmaktadir. Turkiye’de yasayan katilimcilarin puan ortalamasi Kanada’da yasayan katilimcilarin puan ortalamasindan anlamli derecede yuksektir. Merhamet Ol c eginin alt o l c ekleri; sevecenlik, umursamazlik, baglantisizlik ve iliski kesme yasanilan ulkeye g o re farklilasmaktadir. Turkiye’de yasayan katilimcilarin sevecenlik alt o l c egi puan ortalamasi Kanada’da yasayan katilimcilarin sevecenlik alt o l c egi puan ortalamasindan anlamli derecede yuksektir. Kanada’da yasayan katilimcilarin umursamazlik, baglantisizlik ve iliski kesme alt o l c ekleri puan ortalamasi Turkiye’de yasayan katilimcilarin umursamazlik, baglantisizlik ve iliski kesme alt o l c ekleri ortalamasindan anlamli derecede yuksektir. This research examines; Canadian and Turkish university students’ differences in self-compassion, emotional intelligence and the level of compassion, due to their socio-demographic characteristics. Field research is made with students who are studying in Canada and Turkey with the required condition of more than 10 years living in the country that they are studying. The research used; Self-Compassion Scale, Emotional Intelligence Scale and Compassion Scale for Canadian students. While in Turkey, the Turkish adapted versions of same scales, with proven validity and reliability were used. in the analysis; T-Test, Correlation Analysis, Versatile Variants Analysis and Manova methods were used. The research shows that Turkish university students has higher level of self-compassion than Canadian university students. The difference between them are found statistically reasonable. The social sub-scale of emotional intelligence scale of university students differs by Country. The participants live in Turkey have significantly higher average points than the participants living in Canada. The sub-scales of Compassion Scale, namely kindness, recklessness, irritation and disengagement differs by Country. Average kindness sub-scale points of Turkish participants are significantly higher than Canadian participants. The participants from Canada have significantly higher points in; recklessness, irr ela tion and disengagement sub-scales than participants from Turkey.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.329
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0030.004
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.004
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0040.001
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0390.047

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 head0.296
Teacher spread0.268 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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