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Record W4407428004 · doi:10.7202/1115460ar

Education as Morals in Dewey’s Philosophy

2024· article· en· W4407428004 on OpenAlexvenueno aff
Robin Friedman

Bibliographic record

VenuePhilosophical Inquiry in Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Philosophies and Pedagogies
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophyEpistemologyPhilosophy of educationSociologyHigher educationPolitical scienceLaw

Abstract

fetched live from OpenAlex

This article explores Dewey's understanding of the nature of education through three seminal works written over a 32-year period. In Democracy and Education (1916) Dewey developed a concept of education which can be understood through two German words for education, Erziehung and Bildung. Through considering the approach to these concepts by two Dewey scholars, Gert Biesta and Dietrich Benner, the first section of this article seeks to explore Dewey's understanding of education and its relationship to democracy. The second section of the article carries the study forward to Dewey's Human Nature and Conduct (1922) to show how Dewey conceived of education even more broadly and equated it with morals. The concepts of Erziehung and Bildung also are important in this section, as they are expanded to show that, for Dewey, education was a guide in how to live. The third section of the article expands the concept of education still further to view education as philosophy. This section discusses Dewey's book Experience and Education (1938) which he wrote in light of his metaphysical study Experience and Nature (1925). Dewey expanded his understanding of education beyond both Erziehung and Bildung and beyond morals to develop an understanding of education as based upon a philosophical consideration of experience. The goal of the article is to show the breadth of Dewey's understanding of education and to show how his view of education forms the basis of a broad philosophical view of life.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
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
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.115
GPT teacher head0.460
Teacher spread0.345 · 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 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
Published2024
Admission routes1
Has abstractyes

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