Gebser 's Integral Consciousness and Living in the Real World: Facilitating its Emergence Using A Course In Miracles
Bibliographic record
Abstract
I n an impressive body of work, Jean Gebser (1985) claims to have identified and explicated nothing less than the foundational structures of consciousness as they have unfolded and become manifest in every artifact and idea of every human culture to which we have access. Upon reading the Ever-present Origin, one must immediately acknowledge that it is truly a remarkable achievement that is supported by an immense erudition. This statement finds support from the fact that the value of Gebser's conceptions appear to be receiving increasing recognition in recent times. To cite but a few for illustration, Colin Wilson stated; "[Gebser] seems to me possibly the most important thinker of the twentieth century" (Feuerstein, 1992, p. 9). This is no small compliment coming from one who has surveyed such a vast amount of the literature of the West. Also, Ken Wilber, considered by many to be the leading theoretician and synthesizer in the transpersonal psychology movement, has used Gebser's structures to provide a major framework for his spectrum model of consciousness as applied to cultural anthropology (see Finally, Georg Feuerstein, in his book Wholeness or Transcendence?: Ancient Lessons for the Emerging Global Civilization (1992), has found Gebser's conceptions so fertile as to be able to use them to provide defining insights and a new perspective on the great spiritual legacy of the Orient.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.040 |
| Scholarly communication | 0.006 | 0.014 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".