Bibliographic record
Abstract
Patients who have suffered multiple psychic traumas during childhood often form an important part of all analysts’ practices. These patients enter treatment lacking the cognitive skills to get better, and their analyses are necessarily long-term, longer than typical. Early severe psychic trauma arrests the capacity for thinking in the processing sense described by Bion. The result is a kind of concreteness, an absence of metaphor, in which the analyst’s capacity for containment helps the patient to make sense of experience. Much as the mother works with the primal projections of the infant, the analyst acts as intermediary between the patient and a terrifying world of reactivated trauma. With time and process, however, the capacity for thinking emerges, led by a new capacity for metaphor. This achievement brings into focus the value of metaphor and metaphor-work to conceptualize experience and point to what is new and not yet apprehended. Clinical examples are provided to illustrate the processes described. By being alert to the presence of metaphor, even when rudimentary in form, a collaborative, co-creative process becomes possible between patient and analyst in which non-symbolized agony can be transformed into meaningful narrative.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".