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Record W2138650429 · doi:10.7202/1072431ar

Listening from Silence: Inner Composure and Engagement

2020· article· en· W2138650429 on OpenAlexvenueno aff
Leonard J. Waks

Bibliographic record

VenuePaideusis · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Philosophies and Pedagogies
Canadian institutionsnot available
Fundersnot available
KeywordsSilenceActive listeningVirtuePsychologyRelevance (law)AestheticsEpistemologyCommunicationPhilosophyPolitical scienceLaw

Abstract

fetched live from OpenAlex

The Indian-America philosopher Sri Chinmoy Ghose has distinguished between outer silence, inner silence, and innermost silence. In this paper I explore these distinctions and their educational relevance. My main conclusions are that (a) a deep inner silence, undistracted by questions or other thoughts, is at the root of one paradigm kind of good listening in education, and (b) what Chinmoy refers to as “innermost silence” is the moral virtue of receptivity to others that sustains inner silence, even under challenging conditions, a virtue of importance in teaching and in learning from others.

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)0.009
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.039
Scholarly communication0.0110.008
Open science0.0010.013
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.125
GPT teacher head0.358
Teacher spread0.234 · 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

Citations10
Published2020
Admission routes1
Has abstractyes

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