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CRITICAL LISTENING AND THE DIALOGIC ASPECT OF MORAL EDUCATION: J.F. HERBART'S CONCEPT OF THE TEACHER AS MORAL GUIDE

2011· article· en· W2140970017 on OpenAlexaff
Andrea R. English

Bibliographic record

VenueEducational Theory · 2011
Typearticle
Languageen
FieldPsychology
TopicCommunication in Education and Healthcare
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsDialogicActive listeningMoral developmentSocial cognitive theory of moralityEpistemologyMoral disengagementPedagogyMoral reasoningMoral psychologySociologyPsychologyObedienceEducation theorySocial psychologyHigher educationLawPhilosophyPolitical science

Abstract

fetched live from OpenAlex

In his central educational work, The Science of Education (1806), J.F. Herbart did not explicitly develop a theory of listening, yet his concept of the teacher as a guide in the moral development of the learner gives valuable insight into the moral dimension of listening within teacher‐student interaction. Herbart's theory radically calls into question the assumed linearity between listening and obedience to external authority, not only illuminating important distinctions between socialization and education, but also underscoring consequences for our understanding of the role of listening in educational relations. In this inquiry, Andrea English argues that critical listening in teaching contributes to the moral education and development of the learner. To do this, she examines Herbart's view of the teacher's task as a moral guide in the realm of moral education. English contends that reexamining Herbart's theory of education (a theory that is, for the most part, no longer discussed in Anglo‐American educational philosophy) can productively inform our understanding of moral education in democratic and pluralist societies.

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)0.005
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 score0.007
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.041
Scholarly communication0.0060.010
Open science0.0010.003
Research integrity0.0050.006
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 head0.075
GPT teacher head0.410
Teacher spread0.334 · 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

Citations16
Published2011
Admission routes1
Has abstractyes

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