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Record W2110314846 · doi:10.5539/ijps.v1n2p41

The Prototype Analysis of Ren: A Study on College Students’Implicit Theories of Ren

2009· article· en· W2110314846 on OpenAlexvenueno aff
Meiting Liu, Zhaoxu Li, Guangwen Song, Fang Kong, Jia Liu

Bibliographic record

VenueInternational Journal of Psychological Studies · 2009
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsnot available
FundersChina Postdoctoral Science Foundation
KeywordsPsychologyFaithRighteousnessDutyLikert scalePerspective (graphical)Social psychologyMeaning (existential)Representation (politics)FrugalityMathematics educationEpistemologyPoliticsTheologyDevelopmental psychologyPhilosophyLaw

Abstract

fetched live from OpenAlex

This paper reports a preliminary descriptive approach to the representation of the concept of Ren. According to the prototype theory, researchers collected items (words or phrases) including features and implications of Ren from 172 college students, after which the items were simplified and combined, then 145 prototypes were obtained. After that 78 prototypes with high frequency above 7 were selected and arranged randomly to make a questionnaire, then another 300 college students were made to rate centrality of every prototypes to the meaning of Ren in Likert-typed 5 point scale. A factor analysis was made based on the rate. In terms of the result of factor analysis together with content analysis, the prototypes were classified and coded. The result shows that there are 6 facets of the representation of Ren in college students’ mind:(1) righteousness and keeping faith; (2) wisdom and self-cultivation; (3) filial piety, fraternal duty, and treat others well; (4) policy of benevolence; (5) universal love and clemency; (6)political pioneers and righteous men. The result is helpful for moral education of college students from the microscopic aspect and also can be used for reference to develop China's spiritual civilization from macroscopic perspective.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.204
Threshold uncertainty score0.295

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.160
GPT teacher head0.527
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

Citations1
Published2009
Admission routes1
Has abstractyes

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