Convergent Quantification and Physical Support for Teilhard de Chardin’s Philosophy Concerning the Human Species and Evolutionary Consciousness
Bibliographic record
Abstract
Teilhard de Chardin’s integration of geobiological phenomena with philosophical and spiritual perspectives resulted in ideas, such as potentially quantifiable “spiritual energy”, the emergence of a “sphere of human thinking” (noosphere) as the next evolutionary stage of the biosphere, and the ultimate expansion of consciousness into the galaxy. Transformations of his concepts into contemporary values that effectively define cosmology, quantum biology, and human cerebral parameters could support his interpretations. Scaled quantification of basic universal energies match the magnitudes measured within the human cerebrum during thinking. Superposition of the magnetic fields associated with thinking upon the intergalactic strength fields for induced changes in magnetic moments of elementary electrons solves for durations that approach the age of the universe or “immortality”. The immersion of the human species within both the earth’s magnetic field and the Schumann Resonances creates the conditions for producing the “noosphere” and for its potential expansion into space. The rapid development of new computer-based technologies that expose the human population to homogeneous energetic patterns and produce cognitive states consistent with “unifying” the noosphere could be sufficient to produce physical changes which would support Teilhard de Chardin’s hypotheses.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.021 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".