Scientific Objectivity and E. B. Titchener's Experimental Psychology
Bibliographic record
Abstract
Lorraine Daston and Peter Galison's recent book on the history of scientific objectivity showed that, over the course of the nineteenth century, natural scientists of many stripes became intensely concerned with the issue of the distorting influence that their own subjectivities might be having on their observations and representations of nature. At very nearly the same time, experimental psychology arose specifically to investigate scientifically the nature and structure of subjective consciousness. Although Daston and Galison briefly discussed some basic psychological issues-especially the discovery of differences in human color perception-they did not strongly connect the widespread European concern with scientific objectivity to the rise of experimental psychology. This essay critically examines the theoretical and empirical activities of the experimental psychologist who most energetically strove to discover the structure of subjective conscious experience, Edward Bradford Titchener. Titchener's efforts to produce an objective study of subjectivity reveal important tensions in early experimental psychology and also serve to situate experimental psychology at the center of an important intellectual struggle that was being waged across the natural sciences in the decades surrounding the turn of the twentieth century.
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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 | 0.024 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.065 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.007 |
| 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".