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Record W6885919542 · doi:10.14288/1.0089701

Learning considered within a cultural context : Confucian and Socratic approaches

2009· article· en· W6885919542 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Collections · 2009
Typearticle
Languageen
FieldPsychology
TopicEducational Strategies and Epistemologies
Canadian institutionsnot available
Fundersnot available
KeywordsSOCRATESSocratic methodSocratic questioningContext (archaeology)Cultural diversityCross-culturalSample (material)

Abstract

fetched live from OpenAlex

A Confucian-Socratic framework provides a structure for analyzing culture-influenced aspects of academic learning. It is argued that these ancient exemplars model approaches to learning that continue to differentiate students within a modern Canadian postsecondary context. Specifically, it is argued that Chinese cultural influence increases the likelihood that a student will report Confucian learning beliefs and behaviors and that Western cultural influence increases the likelihood that a student will report Socratic learning beliefs and behaviors. Socrates valued private and public questioning of widely accepted knowledge and expected students to evaluate others' beliefs and to generate and consider their own hypotheses. Confucius valued effortful and pragmatic acquisition of essential knowledge. Confucius also valued poetic summary and behavioral reform. Two self-report studies, one (pilot) expert study, and one work sample study assess the utility of this framework in a Canadian context. The self-report studies provide evidence that the framework is reflective of modern cultural differences as expressed in a Western postsecondary context; however, the work sample study produced mainly null results. Consequences of cultural differences in Western postsecondary contexts are 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 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)0.009
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.142

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.004
Science and technology studies0.0080.059
Scholarly communication0.0100.007
Open science0.0020.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.140
GPT teacher head0.352
Teacher spread0.212 · 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 designTheoretical or conceptual
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
Published2009
Admission routes1
Has abstractyes

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