Global consciousness and cosmic significance of lines from Wordsworth’s poem Tintern Abbey
Bibliographic record
Abstract
Mystical, panentheistic lines from Wordsworth’s poem, Tintern Abbey, constitute inductive case study material to introduce HeartMath science’s Global Consciousness Project (GCP). This case study provides a temporal dimension along which to view the cosmic significance of Wordsworth’s “felt sense”, Teilhard de Chardin’s “noosphere” and the GCP. A heuristic phenomenological method is employed. This method facilitates discussion of previous South African research with traditional healers that led to collaboration with the HeartMath Institute, based in California, and establishment of an African Global Coherence Initiative Magnetometer. This latter magnetometer is one of six GCI planetary magnetometers, with the other five currently operating in in California, Saudi Arabia, Lithuania, Canada and New Zealand. The present study introduces GCP2, an update, expanded version of the Global Consciousness Project, which complments GCI. Previously operating from the Institute of Noetic Sciences (IONS), GCP2 is now harmoniously housed by the HeartMath Institute, where its data complements both GCI and Tree Rhythm projects in amplifying interconnectedness science and global healing practices. Contemporary, endemic, planetary contexts of chaos, pollution, mindless destructiveness and war, provide urgent argument for GCP2.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.022 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".