Bibliographic record
Abstract
In this article, challenges after awakening are considered. While being in the awakened flow can be very captivating, we see issues of the mind, the heart, and the guts may still emerge that need to be worked through. The mind can fixate on the witness state or attach itself to nothingness or to the concept of awakening. These fixated positions, beneath which lay the dark emotions of the heart, must be recognized, openly embraced and collapsed. By burning through the stories around these emotions, we can reclaim our openness of the heart and our ability to come from a place of love rather than from the illusion of the separate self. Connecting with all at a gut level, we can be in a place of let go, no longer grasping at self survival as we embrace existence in each moment. Gary Nixon, Ph.D., is a transpersonal nondual psychologist, and professor in the Addictions Counselling Program at the University of Lethbridge. He was drawn to eastern contemplative traditions after an existential world collapse at the end of law school in the early 80‘s and embarked on a nondual quest for wholeness that spanned many years. He completed his Master‘s and doctorate in Counselling Psychology and joined the University of Lethbridge in 1998 after working in addictions and mental health settings. He has been running nondual transformational groups and maintaining a transpersonal psychology private practice over the last ten years.
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.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.462 | 0.294 |
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".