Race in the room: issues in the dynamic psychotherapy of African-Americans
Bibliographic record
Abstract
In ethnically different or similar dyads, the therapist needs to exercise particular caution against applying his or her personal assumptions and metapsychology about minds at large. This chapter defines the following terms, they are: Splitting, Ego Identity, Racism, and Transference-counter-transference. Splitting of the object world occurs when there is an unsatisfactory early relationship between mother and infant because the 'good mother' is not intrapsychically available. Ego identity is an enduring psychological structure that is subjectively experienced as a psychological well-being. Racism is defined 'as internalized oppression'. It is a reenactment of a trauma that will create distress if it is not healed or discharged. Transference is defined as the patient's emotional reactions to the therapist based on the patient's sense of who the therapist is culturally with respect to race, ethnicity, religion, and other factors. Biracial identity may be understood as an emergent category of identification. Most of the non-psychoanalytic papers discuss the difficulties of biracial identity development.
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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 | 0.011 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.034 | 0.015 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 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".