How Alcoholism May Lead to Suicide By Ernest Shulman, Ph.D.
Bibliographic record
Abstract
clarify three indirect mechanisms of the alcoholism-suicide link: brain damage, alienation of significant others, and sup-port for a dangerous lifestyle (Peele, 1988). Malcolm Lowry (1909-1957) grew up near Liverpool, England. His parents traveled by themselves while he was a toddler. Cared for by sadistic nannies or indifferent foster-parents, Malcolm developed emotional problems, becoming an alcoholic by age 13 (Day, 1973). His wealthy father never abandoned him despite Malcolm’s absences that became per-manent as he trekked through various countries in early adulthood (Cross, 1980). His second marriage – to an American, Margerie – produced a close and lasting interdependence. Meanwhile, he lived primarily on stipends from his father who tried to control him from afar. Malcolm’s dependency extended widely: Margerie told him what to do and friends also nurtured him. They lived in a squatter’s shack near Vancouver, Canada. Constant drinking encouraged his child-like lifestyle with its humiliations (Bowker, 1985). Writing in his beloved home provided another escape. Brain damage eventually set in. Underlying resentments surfaced, and he believed Margerie stayed with him for his money. Normally genial, witty, and fun loving, he sometimes threatened Margerie with grievous physical harm, twice trying to strangle her. Toward the end, his writing quality deteriorated, and his editor declined his recent work. Also shat-tering him was a government decision to demolish squatters ’ shacks.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".