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Cultivating Wisdom Within Education: A Mind/Heart Synergy

2018· article· en· W4401015445 on OpenAlexaff
Nancy-Angel Doetzel

Bibliographic record

VenueJournal of educational thought. · 2018
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience, Education and Cognitive Function
Canadian institutionsMount Royal University
Fundersnot available
KeywordsContemplationPerspective (graphical)Status quoValue (mathematics)Function (biology)CurriculumPsychologyInterdependenceEngineering ethicsSociologyPedagogyManagementEpistemologyPolitical scienceSocial scienceComputer scienceLawPhilosophy

Abstract

fetched live from OpenAlex

Administering both a spiritual and scientific perspective to educational leadership could create a blend of "wisdom schools and "knowledge factories" within systems designed for learning. This perspective supports a belief that mind intelligence and heart wisdom should function as an interdependent dynamic; the heart's latent capacity for universal intelligence and wisdom must, like the mind, be provided with models for its full growth and development. Because education systems have tended to focus on preparing students for the job market and retaining a healthy status quo, many leadership and teaching models have ignored the value of contemplation or volunteer work, as part of the curriculum to cultivate wisdom. However, some post-modernists are currently aiming to cultivate wisdom within education by endorsing a mind/heart synergy.

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)0.000
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.039
GPT teacher head0.336
Teacher spread0.298 · 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 designBench or experimental
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
Published2018
Admission routes1
Has abstractyes

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