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Record W2197159755

On the Relationship Between the Rhythm of Education and Human Society

2015· article· en· W2197159755 on OpenAlexvenueno aff
Wanqiu Zheng

Bibliographic record

VenueCanadian social science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicIdeological and Political Education
Canadian institutionsnot available
Fundersnot available
KeywordsRhythmPopularitySociologyProcess (computing)ContradictionSocial changeHarmonious SocietyPsychologyEpistemologySocial scienceAestheticsPolitical scienceSocial psychologyComputer scienceLawPhilosophyChina
DOInot available

Abstract

fetched live from OpenAlex

The founder for process philosophy, Alfred North Whitehead, once clearly proposed the principles for “the rhythm of education”. With the increasing popularity of process philosophy, people became more aware of the importance of “process”, starting to turn from inquiry into the ontology of things to paying close attention on the “existence” itself, which in education appears as emphasizing people’s living conditions and way of practice. However, because of the complicating factors of society and people, in the actual process of education, people do not have a comprehensive understanding and accurate grasp to the issue of the rhythm of education, which in turn results in the chaos in the rhythm of education, causing education to deviate from the rules and needs of social development and people’s physical and mental development. Social development and people’s physical and mental development all have their own rhythm, therefore, only when the rhythm of education matches the rhythm of these two can it be made possible to have a harmonious and sustainable development for people, society, and education itself.

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)0.004
metaresearch head score (Gemma)0.006
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 score0.014
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.043
Scholarly communication0.0090.009
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.130
GPT teacher head0.386
Teacher spread0.256 · 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
Published2015
Admission routes1
Has abstractyes

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