The Self-Cultivation Model of Lifelong Learning
Bibliographic record
Abstract
This chapter takes the prevailing anti-aging sentiment and cultural practice as the starting point of a critical analysis and shows that the modernist worldview of materialistic individualism is at their foundation. Exposing and critiquing the limiting deficit understanding of human aging and human development in this worldview, the authors propose a developmental model that moves beyond materialistic individualism and egoic development and sees human beings becoming progressively integrated into larger and larger circles of being that include not only human others but also non-human others such as Nature and Cosmos. This wider and holistic vision of human development is influenced by classical Asian philosophies that posit post-egoic notions of human being. Using biographical materials to identify the themes relevant to post-egoic development, the authors sketch a model of lifelong learning and growth with what they see as essential elements of such growth: secure bonding and connection, nurturance and nourishing, spirituality, self-cultivation and inner work, community development, virtue cultivation, healing, meditation, and contemplative practices.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.009 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".