“When That Memory Fills Me With Horror and Dread, I Do the Cringe”: Retrospective Temporality in <i>Crazy Ex-Girlfrien</i> d and <i>PEN15</i>
Bibliographic record
Abstract
The television series Crazy Ex-Girlfriend and PEN15 are contemporary cringe comedies that foreground female experience. While the vast majority of cringe comedies employ documentary form and/or practice and speak insistently in the present tense, Crazy Ex-Girlfriend and PEN15 produce stories that not only unfold in the present, but also reframe the past, thereby building into their acts of narration, and by extension their cringe esthetics, a retrospective temporality. In light of themes taken up by both series—themes related to mental health and the construction of female identity and desire—this reframing has significant effects both politically and therapeutically. In this article I analyze the formal means by which a retrospective temporality of cringe is achieved in these series, including the use of musical numbers in Crazy Ex-Girlfriend and unconventional casting in PEN15 , and I explore the various prosocial effects that temporality produces for the series’ characters, creators, and spectators.
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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 | 0.003 | 0.010 |
| 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 | 0.011 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| 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 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".