From the writing cure to the talking cure: Revisiting the French ‘discovery of the unconscious’
Bibliographic record
Abstract
It is often said that the advent of the Freudian talking cure around 1900 revolutionised the psychiatric setting by giving patients a voice. Less known is that for decades prior to the popularisation of this technique, several researchers had been experimenting with another, written practice aimed at probing the mind. This was particularly the case in France. Alongside neurologist Jean-Martin Charcot’s spectacular staging of hypnotised bodies, ‘automatic writing’ became widely used in fin-de-siècle clinics and laboratories, with French psychologists regularly asking entranced patients to scribble down words to validate their nascent theories on the divided self. This article traces the emergence of automatic writing in French psychological discourse at the close of the 19th century. By focusing on the early work of Dr Pierre Janet and some of his contemporaries, it re-examines the role played by this practice in what Henri Ellenberger famously called ‘The Discovery of the Unconscious’. It also considers the various levels of reconstruction at play in recent historical accounts. What does it mean to give subjects a (written) voice? How does automatic writing differ from the Freudian talking cure as respective expressions of the unspeakable? And how might these questions inform future historical practice?
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".