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Record W3171250921

Amae and Freedom in Everyday Language: Toward Transcultural Educational Theory

2021· article· ja· W3171250921 on OpenAlexfundno aff
Shoko Takaya

Bibliographic record

VenueKyoto University Research Information Repository (Kyoto University) · 2021
Typearticle
Languageja
FieldSocial Sciences
TopicEducational Philosophies and Pedagogies
Canadian institutionsnot available
FundersTechnische Universität DortmundYork UniversityYale University
KeywordsLinguisticsEpistemologySociologyPsychologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

This paper aims to clarify the connection between amae in Japan and freedom in Germany in everyday language and to make suggestions to form a transcultural educational theory with them. The concept of amae was introduced in the book The Anatomy of Dependence, written by Japanese psychiatrist Doi Takeo (1920–2009). According to Doi, amae is peculiar to the everyday language of Japanese, yet common to mankind as a psychological phenomenon that is always at work in the formation of human relationships. However, his suggestion of transcultural adoption of "freedom to amaeru" by the Western world was not based on a sufficient understanding of "freedom" in everyday language in the Western world. This paper attempts to modify and develop this point by a research interview about freedom in everyday language with a German graduate student. By suggesting an alternative interpretation of freedom in childhood through the concept of amae, this paper concludes that amae can provide a third possibility in addition to the possibilities of freedom and constraint in modern educational theory and a point of contact in everyday language for transcultural dialogue on educational theories.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.585
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0000.004
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.326
Teacher spread0.275 · 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.

Study designQualitative
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
Published2021
Admission routes1
Has abstractyes

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