<i>Confinia Psychiatrica</i>: Patient Art and the Diagnosis of Mental Illness
Bibliographic record
Abstract
Abstract. In 1950 in Paris, the inaugural World Conference on Psychiatry hosted an exhibit of artwork by patients, including 150 works from 22 patients of Montreal’s Dr. Ewen Cameron. This event marked the inception of a vigorous but short-lived movement in the history of psychiatry and its relationship to art – not as therapy but as a tool for diagnosis. Two theses elevated the topic to the realm of serious research; their authors became leaders in the field: Robert Volmat (1953) and Irene Jakab (1956). Identifying roots in the earlier works of Ambroise Tardieu and Hans Prinzhorn and with connections to the Art Brut movement of artist Jean Dubuffet, a group of adherents formed the Société International de la Psychopathologie de l’Expression (SIPE) in Verona, Italy, in 1959. Members sought to release the hidden diagnostic potential of patient art through research on symbols, colour, structure, and content, deriving codes that would point to specific epistemic categories of evolving psychiatric nosology. National societies also arose in many countries. The related journal Confinia Psychiatrica ( Borderland of Psychiatry) ran from 1958 to 1980. If patient art could be diagnostic, changes in it could be used to assess therapeutic progress. Perhaps for this reason, the pharmaceutical company Sandoz took a particular interest in SIPE, publishing, small collections of patient art of various diagnostic categories and scholarly analysis for distribution to practitioners. We argue that this publishing exercise was a form of corporate advertising – attractive, informative, avant-garde. This paper traces the history of Confinia and SIPE through the publications and meetings, showing how the attempt to use art for “diagnosis” evolved into the more durable process of art as therapy.
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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 | 0.007 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.019 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".