Bibliographic record
Abstract
Auguste Forel was born in 1848 in the French part of Switzerland. He developed a lifelong passion for myrmecology in his childhood, but chose medicine and neuropsychiatry to earn his living. He first undertook a comparative study of the thalamus under Theodor Meynert in Vienna and then, from 1872 to 1879, he worked as Assistant Physician to Bernhard von Gudden in Munich. This led in 1877 to his seminal work on the organization of the tegmental region in which he provides the first description of the zona incerta and the so-called H (Haubenfeld) fields that still bear his name. In 1879, Forel was appointed Professor of Psychiatry in Munich and Director of the Burghölzli cantonal asylum. He became interested in the therapeutic value of hypnotism, while continuing his work on brain anatomy and ants. His neuroanatomical studies with Gudden's method led him to formulate the neuron theory in 1887, four years before Wilhelm von Waldeyer, who received most of the credit for it. Forel then definitively turned his back on neuroscience. After his retirement from the Burghölzli asylum in 1898. and despite a stroke in 1911 that left him hemiplegic, Forel started to write extensively on various social issues, such as alcohol abstinence and sexual problems. Before his death in 1931 at the age of 83, Forel published a remarkable book on the social world of the ants in which he made insightful observations on the neural control of sensory and instinctive behavior common to both humans and insects.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.018 | 0.013 |
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".