BRIDGE OVER TROUBLED WATERS? THE MOST “CENTRAL” MEMBERS OF PSYCHOLOGY AND PHILOSOPHY ASSOCIATIONS CA. 1900
Bibliographic record
Abstract
There are many different ways to assess the significance of historical figures. Often we look at the influence of their writings, or at the important offices they held with disciplinary institutions such as universities, journals, and scholarly societies. In this study, however, we took a novel approach: we took the complete memberships, ca. 1900, of four organizations-the American Psychological Association, the Western Philosophical Association, the American Philosophical Association, and the Southern Society for Philosophy and Psychology-and visualized them as a network. We then identified individuals who "bridged" between two or more of these groups and considered what might be termed their "centrality" to the psychological-philosophical community of their time. First, we examined these figures qualitatively, briefly describing their lives and careers. Then we approached the problem mathematically, considering several alternative technical realizations of "centrality" and then explaining our reasons for choosing eigenvector centrality as the best for our purposes. We found a great deal of overlap among the results of the qualitative and quantitative approaches, but also some telling differences. J. Mark Baldwin, Edward Buchner, Christine Ladd Franklin, and Frank Thilly consistently emerged as highly central figures. Some more marginal figures such as Max Meyer, and Frederick J. E. Woodbridge, Edward A. Pace, Edward H. Griffin played interesting roles as well.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".