La perte d'une partie de soi dans le contexte d'une amputation traumatique de guerre : Un deuil impossible?
Bibliographic record
Abstract
In this article, the authors explore the subjective experience of an adult subjectamputated during his teenage years following a traumatic accident of war. Eleven semi-structured clinical interviews were conducted and analyzedusing psychoanalytic theory and principles. A projective test was alsoadministered. This research has helped identify how the absence of anyadequate and real support during war, prevented this subject from integratingthis extreme experience. Forced to absolute silence, he finds himselfin a painful stalemate, unable to reconstruct his broken identity after thistraumatic event. In order to survive this accident, he psychically amputatespart of himself, which allows him to guard against the emergence of difficultand painful emotions related to the loss of the body image he had of himselfbefore the amputation. But this psychological amputation that manifestsitself through a painful identity conflict, prevents him from undergoing agrieving process and therefore possibly symbolizing this traumatic event. Inthe context that surrounds him, investing in horses appears to be his onlyhope of repairing the narcissistic injury related to his traumatic amputation.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".