Entre terre natale et terre d’accueil. Comment explorer les limites et les difficultés à lier une position clinique et une préoccupation citoyenne dans les soins psychiques aux demandeurs d’asile… ?
Bibliographic record
Abstract
Psychic care of refugee claimants, victims of extreme and intentional trauma engages a particular clinic requiring that the therapist remains vigilant to concerns of citizenship. However, the psychoanalytical contribution, when by its self insufficient, is fundamental to understand what is addressed from one subject to another, in transference and counter-transference. The presence of a cultural mediator (interpreter), far from polluting the therapeutic relation, in the contrary, enriches it, in finding a process of objectalisation. Nevertheless, if exile remains before anything subjective, one must pay particular attention to the context of immigration policies of the host country and to the context of conflict of the country of origin. Indeed, it is the quality of this psychic « to-and-fro » between the host group and the native group, a support of the re-symbolization process that protects the collapse of intra and inter-subjective links. In these conditions, the therapist occupies moreover a position of « passeur ». However, what is fundamentally addressed is the question of 'human condition'.
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 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.014 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 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".