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Record W2282159599 · doi:10.7202/1071565ar

In A Mindful Moral Voice: Mindful Compassion, The Ethic of Care and Education

2020· article· en· W2282159599 on OpenAlexaffvenue
Deborah Orr

Bibliographic record

VenuePaideusis · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicReligious Education and Schools
Canadian institutionsYork University
Fundersnot available
KeywordsCompassionBuddhismEmpathyFlourishingPsychologySociologyMoral agencyPersonhoodContext (archaeology)Moral obligationEnvironmental ethicsEpistemologySocial psychologyLawPhilosophyPolitical science

Abstract

fetched live from OpenAlex

This paper argues that Carol Gilligan’s Ethic of Care has strong affinities with the Buddhist concept of karuna (compassion) which, Jay Garfield has argued, is the necessary foundation of rights theory. Its central argument is that both moral compassion and thus rights theory are grounded in the natural compassionate care a mother exercises in order to promote the flourishing of her child without which children, and consequently adult society, would not survive in any form. Wittgenstein’s concept of language-games is brought to bear on Buddhist philosophy to foreground the rootedness of human experience in connection and empathy. This further supports the naturalness of compassionate care, the Ethic of Care and karuna. Finally, mindfulness meditation is proposed as a practice appropriate for the educational context for the development of karuna as a moral resource for personal, civil and professional 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 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)0.003
metaresearch head score (Gemma)0.003
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 score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.036
Scholarly communication0.0070.007
Open science0.0010.006
Research integrity0.0030.006
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 head0.029
GPT teacher head0.340
Teacher spread0.311 · 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

Citations15
Published2020
Admission routes2
Has abstractyes

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