Jameson avec or sans Žižek: Psychoanalysis, Marxism, and the Impossible Social Bond
Bibliographic record
Abstract
In my recent book on Fredric Jameson, I averred that while Jameson and Žižek seem to be ideologically aligned, a misperception suggested or affirmed by their frequent citation of each other’s work, these citations were, I argued, a screen that obfuscates more profound differences (Burnham 2016: 10-11). But what are those differences? I propose here to lay some stress on what I take to be some important differences between those two projects, in terms of their attitudes towards the dialectic (that is to say, the impossibility of reconciling those antagonisms, but also the importance of that non-reconciliation). Grounding that dialectic via the vicissitudes of the Lacanian “non-relation,” I then turn to the question of historicism or historicity, articulated via contrasting readings of Jeff Wall’s 1994 photograph Untangling that allegorize via the pictorial not so much mark making (as Walter Benn Michaels would have it) but looking as labor – the labor of the clinic with or without the labor of the workshop.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.030 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".