Bibliographic record
Abstract
The author gives an account of her interview with Thérèse Bertherat. The latter is a French physiotherapist who, after an initial classical training, become discouraged by the inhuman attitudes that were common in her professional surroundings, She attended then a summer session with Françoise Mézières. There she learned to be more attentive to her own experience rather than to depend on reading or on other's experience. After a few years of professional practice, she developped new muscular activities called "préalables". These non mechanical activities are aimed at the reappropriation of one's own body. With her patients, Thérèse Bertherat discovered that the psychological realm is sometimes encapsulated into muscular rigidity. In effect, releasing these rigidities often induces the recall of a painful memory. Some patients refuse to give up the rigidities and stop the treatment at the approach of important improvement. This physio therapeutic approach is characterized by a profound respect for individual evolution. Through its main stages, it also resembles some psychotherapeutic approaches. In this context her book may be valuable to anyone who is interested in the unity of the individual.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.022 | 0.006 |
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".