Creators of the Vocabulary of Anglophone Psychology and Their Relationships
Bibliographic record
Abstract
The vocabulary of anglophone psychology largely developed during the 19th and early 20th centuries. The creators of this vocabulary include such well-known names as William James, Joan Riviere, E. L. Thorndike, and James Strachey. Along with others, they invented many new words and word meanings for psychology. The more a psychologist responded to the need for new vocabulary the more likely were they to be mentioned in publications. Moreover, linguistically creative psychologists occurred together in publications to a greater extent than less linguistically creative psychologists, with William James having the most co-occurrences. A network is presented that links each member of a sample of 59 linguistically creative psychologists to the other member of the sample with whom they most frequently co-occur (e.g., E. L. Thorndike co-occurs most frequently with William James). For each pair, we provide brief descriptions of their similarities and/or differences. There is also a cluster of translators who created new English words and word meanings in order to capture the meanings of words in other languages that had no satisfactory equivalents in English. Generally speaking, the more success psychologists have had in filling the lacunae in psychology’s vocabulary, the more they have been recognized by others.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".