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Record W2564691520 · doi:10.5539/ijps.v9n1p62

Be Empathic! The Influence of Empathy on Attitude Formation in the German Refugee Debate

2016· article· en· W2564691520 on OpenAlexvenueno aff
Julia F. Weber, Marc‐André Reinhard

Bibliographic record

VenueInternational Journal of Psychological Studies · 2016
Typearticle
Languageen
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsEmpathyPsychologyRefugeeGermanSocial psychologyFeelingPersonal distressEmpathic concernMoodDevelopmental psychologyPerspective-takingPolitical science

Abstract

fetched live from OpenAlex

The study was conducted to investigate the elaboration and memorisation of the emotionally charged refugee debate with reference to the possible influences of empathic feelings, political attitude and mood. It was hypothesised that empathy towards refugees correlates positively with advanced elaboration and memorisation of the refugee debate. Participants’ personal empathy was assessed through a self-report questionnaire which differentiates between four distinct dimensions of empathy. Afterwards, participants listened to an interview with a politician from a German populist party about refugee policies concluding with a test about the content. As expected, the results revealed a positive correlation between the empathy dimensions’ Fantasy and Personal Distress and the correct answers of the open-ended question test. The Fantasy dimension of empathy was significantly correlated with the elaboration and memorisation of the extreme and populist positions in the refugee debate. Important practical implications as well as limitations of the study were discussed.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.894
Threshold uncertainty score0.174

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 head0.103
GPT teacher head0.470
Teacher spread0.367 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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