Go, now, go: friendship, futures unknown, identity and performance in teen television
Bibliographic record
Abstract
This thesis is an examination of identity and the role of friendship in the formation of self and selves, within two under-examined areas of television studies: performance studies and critical analyses of Teen Television. As a journey through two serial television programs, My So-Called Life (1994-1995) and Pen15 (2019-present) with a brief exploration of Freaks and Geeks (1999-2000), this thesis aims to position Teen TV as an ideal space for exploring the ways friendships alter the beings within them and might be exemplary at amplifying specific elements (the transient, the crucially temporal, the unsettled) of serial television more generally. Teen programs often reflect the “in progress” nature of the serialized medium itself, through narrative and characterization. By centralizing friendships as the crux of the thematic and dramatic stakes, and because teen characters are often presented on a journey of self-discovery (and because these two elements are necessarily intertwined), teen television may be particularly well-suited to the serialized televisual medium. Through a close reading of specific scenes and sequences, with particular attention paid to the performances of young actors on screen, one can uncover the connection that those performances have to other aesthetic elements of the production and narrative. Connectedly, examining the ways that performances accumulate and augment over time, one can, ever gradually, track a character that does not become solidified into a singular self, but rather – through these accumulations and augmentations (sometimes replications and inhabitations of others) – the ways that television characters (like real life people) are swayed and shifted, constantly, by those close to them. Simultaneously, these characters (through narrative and performance) are often shown learning and incorporating elements of others into themselves, developing a relationship language – through gesture, tone, costume, through improvisation and other forms of play, and through affective blending. These shifts may similarly be reflected by the viewer (multiplying the affective entanglements beyond the screen) whose relationship with characters and outward (often creative) expressions based on the characters, aesthetics, and narrative, may take on an element of friendship itself.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".