Long Shadows of Racism and Genocide: Learning from Erich Fromm’s Social Psychoanalysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
As a psychoanalyst, Fromm felt compelled to speak to the social and political crises of his time. Fromm’s social psychoanalysis was a radical departure from the Freudian mainstream and has important implications for how psychoanalysis can address social and political forces today. What is less known and often neglected is the way in which Fromm was himself shaped by the traumatic events of racial discrimination and genocide that marked the twentieth century, particularly the rise of Nazism, virulent anti-Semitism and the Holocaust. This article will weave together Fromm’s life-experience, and that of his family, with his development of key ideas relating to the threat of authoritarianism and racial narcissism. To illustrate the relevance of Fromm’s work in the present moment, I consider the reality of systemic racism and the long shadow of genocide. Drawing on my work as practicing psychoanalyst, I address the racial discrimination experienced by Indigenous peoples in Canada. In the process, I examine how the psychoanalysis and the therapeutic setting is embedded in society and inevitably implicated in the structures of systemic racism.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 it