August Kirschmann and the Material Culture of Colour in Toronto’s Early Psychological Laboratory
Bibliographic record
Abstract
Between 1893 and 1908, the German-born psychologist August Kirschmann (1860- 1932) led the University of Toronto’s newly founded psychological laboratory. Trained by the founder of experimental psychology, Wilhelm Wundt (1832-1920) Kirschmann was among an early generation of psychologists who helped to establish new laboratories across Europe and North America. Kirschmann’s main area of study was colour perception—a vital field during a period in which the technology of colour and illumination was advancing rapidly. This paper explores Kirschmann’s contribution through the material culture of his research in Toronto—especially instruments based on the technology of disc mixture. It discusses the exchange of experimental technology between Germany, where commercial manufacture of laboratory instruments was underway, and Toronto. It also explores Kirschmann’s technological contribution to his field. It cites, where possible, surviving objects and materials.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.042 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".