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Record W4382516364 · doi:10.1080/00958964.2023.2228738

Holistic listening to nature through the concept of the heart-mind in environmental education

2023· article· en· W4382516364 on OpenAlex
Shihua Tan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Journal of Environmental Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous and Place-Based Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsActive listeningHarmony (color)MindsetPsycheEnvironmental educationPsychologyEnvironmental ethicsHolistic educationSociologyConsciousnessEpistemologyAestheticsPedagogyCommunicationPhilosophyPsychoanalysis

Abstract

fetched live from OpenAlex

As a Chinese Canadian environmental educator and musician, I explore how the concepts of the heart-mind and holistic listening from guqin music could be applied to environmental education (EE) as a non-western perspective on the ecological crisis and the problematic separation between humans and nature. The early Chinese concept of the heart-mind (psyche) is exhibited in guqin culture. A cultivated and enhanced heart-mind is free from individual self-interest and competition– mindset of the capitalist system that has produced massive destruction of our planet. Holistic listening to nature engages the heart-mind and whole body, highlighting human connections with nature within a correlative cosmology. Holistic listening and the heart-mind can be used in EE as an environmental ethic that promotes simplicity, holistic learning, and harmony with nature as the good life, engaging learners’ cultural and environmental consciousness and ability to connect to the environment ethically and spiritually.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.481
Threshold uncertainty score0.466

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.313
Teacher spread0.300 · 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