Dissociation : Vol. 5, No. 2, p. 123-124 : Book review
Bibliographic record
Abstract
With the increase in client allegations of satanic cult abuse and ule like, we as therapists like Freud, are challenged as to what to believe (Ganaway, 1989;Young, Sachs, Braun, & Watkins, 1991).Here is a story to believe.In 1956, the Chinese Communists were implementing massive mind control projects to reform their society.Also beginning in 1956, Dr. Hallley Weinstein and his family beg-an ajourney on one of the most harrowing tales of the dark side of Western psychiatry. in that year, when Dr. Weinstein was a young adolescent, his father sho.....ed symptoms of what .....e .....ould now diagnose as panic disorder.Weinstein, Sr. was admitted to a prestigious Montreal psychiatric hospital and treated over the next several years by Ewen Cameron, M.D. Cameron was a psychiatrist ofprominence and power, whose career included the presidency of the American Psychiatric Association.The treatment \Veinstein, Sr. underwent broke him, and broke his family.It was a brutal form of brainwashing that combined the use of high dosages of potent psychotropic drugs and copious [cr.It included long periods of isola-
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.073 | 0.047 |
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".