Bibliographic record
Abstract
Abstract Donald Olding Hebb was a Canadian born to two physicians in Chester, Nova Scotia, in 1904. He excelled in schoolwork until his reactions to authority led to difficulties in his later teenage years. He completed his undergraduate studies at Dalhousie University receiving a BA degree in 1925. He traveled to the beat of his own drum, engaging in teaching, farming, and common labor while he continued in self‐study reading works within the developing field of psychology. In 1928, he enrolled in psychology at McGill university, where he received his MA in 1932. His studies were combined with part‐time teaching, and he suffered from health problems and the death of his wife during his graduate studies. After these struggles, he left Canada in 1934 and began serious graduate study with Karl Lashley at the University of Chicago. Lashley left Chicago for Harvard in 1935, and Hebb moved with him. In 1936, at age 32, he received his PhD based on his research on the brains of rats.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.006 | 0.001 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 0.008 |
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".