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Record W2750466820

WISDOM INTELLIGENCE IS POWER, HUMANKIND IS CALLING FOR WISDOM INTELLIGENCE EDUCATION!

2017· article· en· W2750466820 on OpenAlex
Wen Ma

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.

Bibliographic record

VenueAmerican Journal of Educational Research · 2017
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsMount Saint Vincent University
Fundersnot available
KeywordsPerspective (graphical)Power (physics)Natural (archaeology)PsychologySpiritual intelligenceEpistemologyQuality (philosophy)Intelligence cycleHuman intelligenceSociologyEmotional intelligenceSocial psychologyMilitary intelligencePolitical scienceComputer scienceArtificial intelligencePhilosophyDevelopmental psychology
DOInot available

Abstract

fetched live from OpenAlex

The purpose of the article is to emphasize the importance of “Wisdom intelligence education”. Drawing upon insights from the past and current educational studies, this article reveals the aim and method of wisdom intelligence education. The perspective of wisdom intelligence education is original and valuable. The nature of wisdom intelligence education is to fundamentally enhance people’s mind-body quality. Wisdom intelligence education will ultimately help people truly understand the very reason for wisdom intelligence in the natural lives of humankind.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.459
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0170.001

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 head0.245
GPT teacher head0.564
Teacher spread0.319 · 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