Die Mortalität von Menschen mit Schizophrenie bei Hitze
Bibliographic record
Abstract
Fast wäre die Studie “Chronic Diseases Associated With Mortality in British Columbia, Canada During the 2021 Western North America Extreme Heat Event” in der Zeitschrift GeoHealth 1 an der psychiatrischen Fachwelt vorbeigegangen. GeoHealth ist eine Open-Access- Zeitschrift (Impact Faktor 6,3), die sich selbst als transdisziplinär bezeichnet und an den „intersections of the Earth and environmental sciences and health sciences“ interessiert ist und gehört wahrscheinlich nicht zu den Zeitschriften, die von in der Psychiatrie Tätigen routinemäßig gelesen werden. Auch der Autor dieses Beitrages wurde erst durch einen Artikel eines Wissenschaftsjournalisten in Science (Schizophrenia pinpointed as a key factor in heat deaths; 2) darauf aufmerksam. Doch dieser Artikel hat es in sich. Die Studie einer Gruppe von Epidemiologen aus British Columbia um Lee et al. in GeoHealth zeigt erstmals in dieser Deutlichkeit, wie hoch die Mortalität gerade von Menschen mit psychiatrischen Erkrankungen, insbesondere aber von Menschen mit Schizophrenie, an Hitzetagen ist.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".