Bibliographic record
Abstract
When I forget who I am I serve you Through service I remember who I am And I know I am you.(Hindu adage) hat comes to mind when you reflect on the words 'healing spaces'?As a clinical psychologist I think the mind has the potential to be a fertile place for healing.Before I elaborate, let's consider what healing means.Dr. Mount, the founder of McGill Programs in Whole Person Care, wrote, "healing is a shift in our quality of life away from anguish and suffering, toward an experience of integrity, wholeness, and inner peace."[1]A shift.What shifts?Following three decades of working with various paradigms to understand human illness and wellness (e.g., psychosomatic, cognitive-behavioural, health psychology, humanistic, existential, mind-body medicine) the most compelling approach for me has been Buddhist psychology.Why?Because it uses the mind to heal itself and foster healing in others.Buddhist psychology provides methods to unpack how the mind shapes suffering without relying on dogma.In my view, it fits with the mission of the McGill Programs in Whole Person Care.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".