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Record W1719702723 · doi:10.3968/7444

Research on the Higher Education Ideas in Ancient Greece and its Modern Values

2015· article· en· W1719702723 on OpenAlexvenueno aff
Mingqin Wei, Jing Sun, Yuanping Shi

Bibliographic record

VenueCross-cultural communication · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsnot available
Fundersnot available
KeywordsVirtueHigher educationLiberal arts educationValue (mathematics)Ancient GreeceAcademic freedomThe artsSociologyPhilosophy of educationPedagogySocial scienceEngineering ethicsPolitical scienceLawClassicsHistoryEngineeringComputer science

Abstract

fetched live from OpenAlex

Higher education institutions of ancient Greece, represented by the philosophy schools which rose in 387 BC in classical Athens and its history ended in 529 AD, it played a significant role in higher education history. The ideas, systems and structures of higher education institutions had been completed in the form of philosophy schools during these 916 years’ development. Here, the core ideas of them have been reviewed and analyzed at two main aspects: The virtue cultivation, the practical ideas of liberal arts education, the free view reflected in this process worthies our attention too. The continuous research back on them will help us to deepen our understanding of the origin of the university ideas and the development of its systems, and also it will promote the modern value of its spiritual heritages. In practice, universities are the main forces of the modern higher education, while we focus on the system development of the universities, attention should still be drawn that it is the place for virtue cultivation and the truth and freedom pursuing, which are the core parts for the university ideas, they should be well maintained and carried on in the development of the modern universities.

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)0.002
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.720
Threshold uncertainty score0.733

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.180
GPT teacher head0.486
Teacher spread0.307 · 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 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

Citations2
Published2015
Admission routes1
Has abstractyes

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