This Is Not a Character: Resemblance and Similitude in Etgar Keret's Suddenly, a Knock on the Door
Bibliographic record
Abstract
The article is concerned with reading Etgar Keret’s Suddenly a Knock on the Door (2010) for the character. Shot through with postmodern skepticism about the concept of character, Keret’s stories are particularly well placed to net the contemporary sense of rupture between character and the affirmation of reality. Keret’s depiction of character is analyzed using Michel Foucault’s distinction between Resemblance and Similitude, introduced in his book This Is Not a Pipe. Building on Foucault’s distinction, I argue that Keret dismisses the old equivalence between resemblance and affirmation and brings pure similitudes and non-affirmative verbal statements into play, thereby creating the instability of character and a disoriented characterization. This principle manifests itself in a variety of techniques, in all of which the verbal objects, that are there seemingly representing character, even though they bear a resemblance to what we think is recognizable, are in fact misleading.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".